Search
8.337583 <= product of:
... 5.458592 <= sum of:
... ... 2.729296 <= weight(tm_X3b_en_rendered_item:26 in 6) [SchemaSimilarity], result of:
... ... ... 2.729296 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 2.091998 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 138.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.652318 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 216.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 2.729296 <= sum of:
... ... ... 2.729296 <= weight(tm_X3b_en_rendered_item:26 in 6) [SchemaSimilarity], result of:
... ... ... ... 2.729296 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... ... 2.000000 <= boost
... ... ... ... ... 2.091998 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... ... 138.000000 <= n, number of documents containing term
... ... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... ... 0.652318 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... ... 216.000000 <= dl, length of field (approximate)
... ... ... ... ... ... 834.355040 <= avgdl, average length of field
... 1.527424 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775422800000),date(ds_created)=2022-04-26T20:20:56Z))+0.05)))
… Society at Rhodes Inducts New Members Published on: April 26, 2022 The Rhodes College Chapter of Iota Iota Iota, the …
8.248873 <= product of:
... 6.543168 <= sum of:
... ... 2.703498 <= weight(tm_X3b_und_rendered_item:26 in 1177) [SchemaSimilarity], result of:
... ... ... 2.703498 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 2.720514 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 50.000000 <= n, number of documents containing term
... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... 0.496873 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 600.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 0.827635 <= weight(tm_X3b_und_rendered_item:one in 1177) [SchemaSimilarity], result of:
... ... ... 0.827635 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 0.832844 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 333.000000 <= n, number of documents containing term
... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... 0.496873 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 600.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 0.308536 <= weight(tm_X3b_und_rendered_item:for in 1177) [SchemaSimilarity], result of:
... ... ... 0.308536 <= score(freq=13.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 0.166284 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 649.000000 <= n, number of documents containing term
... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... 0.927737 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 13.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 600.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 2.703498 <= sum of:
... ... ... 2.703498 <= weight(tm_X3b_und_rendered_item:26 in 1177) [SchemaSimilarity], result of:
... ... ... ... 2.703498 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... ... 2.000000 <= boost
... ... ... ... ... 2.720514 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... ... 50.000000 <= n, number of documents containing term
... ... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... ... 0.496873 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... ... 600.000000 <= dl, length of field (approximate)
... ... ... ... ... ... 757.801600 <= avgdl, average length of field
... 1.260685 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775422800000),date(ds_created)=2018-03-26T15:23:31Z))+0.05)))
… in International Peer-Reviewed Journal Published on: March 26, 2018 Filoteia Popescu, a Rhodes junior with a double … of the article is “Recurrent Pregnancy Loss Evaluation Combined With 24-Chromosome Microarray of Miscarriage Tissue … Pregnancy Loss Center at Fertility Associates of Memphis, one of the world’s leading centers for the study of RPL. …
8.153360 <= product of:
... 6.472753 <= sum of:
... ... 3.115291 <= weight(tm_X3b_und_rendered_item:26 in 1259) [SchemaSimilarity], result of:
... ... ... 3.115291 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 2.720514 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 50.000000 <= n, number of documents containing term
... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... 0.572556 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 376.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 0.242171 <= weight(tm_X3b_und_rendered_item:for in 1259) [SchemaSimilarity], result of:
... ... ... 0.242171 <= score(freq=2.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 0.166284 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 649.000000 <= n, number of documents containing term
... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... 0.728185 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 2.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 376.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 3.115291 <= sum of:
... ... ... 3.115291 <= weight(tm_X3b_und_rendered_item:26 in 1259) [SchemaSimilarity], result of:
... ... ... ... 3.115291 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... ... 2.000000 <= boost
... ... ... ... ... 2.720514 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... ... 50.000000 <= n, number of documents containing term
... ... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... ... 0.572556 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... ... 376.000000 <= dl, length of field (approximate)
... ... ... ... ... ... 757.801600 <= avgdl, average length of field
... 1.259643 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775422800000),date(ds_created)=2018-03-14T19:18:12Z))+0.05)))
… with a local church to offer a holistic approach for the physical, mental, and spiritual needs of the community. On March 12, a ribbon cutting was held for The … Dr. Peter Hossler, an assistant professor of urban and community health at Rhodes, will serve as program director …
8.131094 <= product of:
... 6.744217 <= sum of:
... ... 3.372109 <= weight(tm_X3b_und_rendered_item:26 in 1018) [SchemaSimilarity], result of:
... ... ... 3.372109 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 2.720514 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 50.000000 <= n, number of documents containing term
... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... 0.619756 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 264.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 3.372109 <= sum of:
... ... ... 3.372109 <= weight(tm_X3b_und_rendered_item:26 in 1018) [SchemaSimilarity], result of:
... ... ... ... 3.372109 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... ... 2.000000 <= boost
... ... ... ... ... 2.720514 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... ... 50.000000 <= n, number of documents containing term
... ... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... ... 0.619756 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... ... 264.000000 <= dl, length of field (approximate)
... ... ... ... ... ... 757.801600 <= avgdl, average length of field
... 1.205639 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775422800000),date(ds_created)=2016-01-26T20:07:05Z))+0.05)))
… Katie Hatstat and Mallory Morris Published on: January 26, 2016 Katie Hatstat ( chemistry and neuroscience) and … Morris ( neuroscience ) soon will have their research completed at Rhodes published in the peer-reviewed journal Computational and Theoretical Chemistry . The manuscript is …
8.124895 <= product of:
... 6.381932 <= sum of:
... ... 2.428363 <= weight(tm_X3b_und_rendered_item:26 in 1123) [SchemaSimilarity], result of:
... ... ... 2.428363 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 2.720514 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 50.000000 <= n, number of documents containing term
... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... 0.446306 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 792.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 1.271368 <= weight(tm_X3b_und_rendered_item:one in 1123) [SchemaSimilarity], result of:
... ... ... 1.271368 <= score(freq=4.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 0.832844 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 333.000000 <= n, number of documents containing term
... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... 0.763269 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 4.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 792.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 0.253839 <= weight(tm_X3b_und_rendered_item:for in 1123) [SchemaSimilarity], result of:
... ... ... 0.253839 <= score(freq=4.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 0.166284 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 649.000000 <= n, number of documents containing term
... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... 0.763269 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 4.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 792.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 2.428363 <= sum of:
... ... ... 2.428363 <= weight(tm_X3b_und_rendered_item:26 in 1123) [SchemaSimilarity], result of:
... ... ... ... 2.428363 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... ... 2.000000 <= boost
... ... ... ... ... 2.720514 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... ... 50.000000 <= n, number of documents containing term
... ... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... ... 0.446306 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... ... 792.000000 <= dl, length of field (approximate)
... ... ... ... ... ... 757.801600 <= avgdl, average length of field
... 1.273109 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775422800000),date(ds_created)=2018-08-07T20:46:11Z))+0.05)))
… Rhodes’ Camp Codette Encourages Girls Not to Be Afraid of Computer Science 2018 campers working together to figure out the puzzles of one of their projects Published on: August 07, 2018 In 2017, women made up only 26 percent of the computing workforce, according to the …
8.093729 <= product of:
... 5.113198 <= sum of:
... ... 2.556599 <= weight(tm_X3b_en_rendered_item:26 in 514) [SchemaSimilarity], result of:
... ... ... 2.556599 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 2.091998 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 138.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.611043 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 312.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 2.556599 <= sum of:
... ... ... 2.556599 <= weight(tm_X3b_en_rendered_item:26 in 514) [SchemaSimilarity], result of:
... ... ... ... 2.556599 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... ... 2.000000 <= boost
... ... ... ... ... 2.091998 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... ... 138.000000 <= n, number of documents containing term
... ... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... ... 0.611043 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... ... 312.000000 <= dl, length of field (approximate)
... ... ... ... ... ... 834.355040 <= avgdl, average length of field
... 1.582909 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775422800000),date(ds_created)=2022-09-12T15:56:19Z))+0.05)))
… retention rates, class size, and student selectivity for the entering class. Rhodes ranked No. 55— sharing that … Rhodes also landed at No. 23 for Most Innovative and No. 26 for Best Undergraduate Teaching among liberal arts … that are linked to student success and positive learning outcomes. Rhodes received recognition in the First-Year …
8.079619 <= product of:
... 6.074088 <= sum of:
... ... 2.453118 <= weight(tm_X3b_en_rendered_item:26 in 1753) [SchemaSimilarity], result of:
... ... ... 2.453118 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 2.091998 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 138.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.586310 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 376.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 1.167851 <= weight(tm_X3b_en_rendered_item:one in 1753) [SchemaSimilarity], result of:
... ... ... 1.167851 <= score(freq=4.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 0.686928 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 564.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.850054 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 4.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 376.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 2.453118 <= sum of:
... ... ... 2.453118 <= weight(tm_X3b_en_rendered_item:26 in 1753) [SchemaSimilarity], result of:
... ... ... ... 2.453118 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... ... 2.000000 <= boost
... ... ... ... ... 2.091998 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... ... 138.000000 <= n, number of documents containing term
... ... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... ... 0.586310 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... ... 376.000000 <= dl, length of field (approximate)
... ... ... ... ... ... 834.355040 <= avgdl, average length of field
... 1.330178 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775422800000),date(ds_created)=2019-12-07T15:34:35Z))+0.05)))
… Adam Cruthirds '20 Raises One Million Dollars for St. Jude Published on: December 07, … Memphis Marathon on December 7, Adam Cruthirds ’20 will be completing his first full marathon for the hospital that … to hit the full marathon’s finish line. He will run with 26 names of friends he has met in treatment on his arms, one …
8.046380 <= product of:
... 6.665716 <= sum of:
... ... 3.332858 <= weight(tm_X3b_und_rendered_item:26 in 783) [SchemaSimilarity], result of:
... ... ... 3.332858 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 2.720514 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 50.000000 <= n, number of documents containing term
... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... 0.612542 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 280.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 3.332858 <= sum of:
... ... ... 3.332858 <= weight(tm_X3b_und_rendered_item:26 in 783) [SchemaSimilarity], result of:
... ... ... ... 3.332858 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... ... 2.000000 <= boost
... ... ... ... ... 2.720514 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... ... 50.000000 <= n, number of documents containing term
... ... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... ... 0.612542 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... ... 280.000000 <= dl, length of field (approximate)
... ... ... ... ... ... 757.801600 <= avgdl, average length of field
... 1.207129 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775422800000),date(ds_created)=2016-02-22T17:46:48Z))+0.05)))
… Rhodes on Track Teaching Compassion, According to Commercial Appeal Commentary … 22, 2016 Arun Gandhi, grandson of Mahatma Gandhi and a proponent of nonviolence, spoke on campus recently on … Muesse of the Department of Religious Studies . More efforts are being planned to continue the conversation in …
8.024950 <= product of:
... 5.956812 <= sum of:
... ... 1.340677 <= weight(tm_X3b_en_rendered_item:26 in 1687) [SchemaSimilarity], result of:
... ... ... 1.340677 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 2.091998 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 138.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.320430 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 1688.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 0.964677 <= weight(tm_X3b_en_rendered_item:one in 1687) [SchemaSimilarity], result of:
... ... ... 0.964677 <= score(freq=5.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 0.686928 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 564.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.702168 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 5.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 1688.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 1.340677 <= sum of:
... ... ... 1.340677 <= weight(tm_X3b_en_rendered_item:26 in 1687) [SchemaSimilarity], result of:
... ... ... ... 1.340677 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... ... 2.000000 <= boost
... ... ... ... ... 2.091998 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... ... 138.000000 <= n, number of documents containing term
... ... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... ... 0.320430 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... ... 1688.000000 <= dl, length of field (approximate)
... ... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 2.310780 <= weight(tm_X3b_en_rendered_item:visit in 1687) [SchemaSimilarity], result of:
... ... ... 2.310780 <= score(freq=4.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 1.767980 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 191.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.653509 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 4.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 1688.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... 1.347189 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775422800000),date(ds_created)=2020-03-30T18:51:19Z))+0.05)))
… on: March 30, 2020 Supreme Court Justice Stephen Breyer Visits Campus by Caroline O'Connor '20 Standing at the … Free copies of the Constitution were also offered to everyone in attendance. “Any commemoration, even a late one, … were able to meet Breyer before his lecture. The group of 26 students discussed their coursework with him, and their …
8.009716 <= product of:
... 5.094707 <= sum of:
... ... 0.789526 <= weight(tm_X3b_en_rendered_item:one in 506) [SchemaSimilarity], result of:
... ... ... 0.789526 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 0.686928 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 564.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.574680 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 408.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 4.305180 <= weight(tm_X3b_en_rendered_item:latest in 506) [SchemaSimilarity], result of:
... ... ... 4.305180 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 3.745723 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 26.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.574680 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 408.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... 1.572164 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775422800000),date(ds_created)=2022-08-18T21:12:32Z))+0.05)))
… College has been known to catch the eye of onlookers and visitors of the college, but its own students helped it earn … Edition . “It is no surprise that Rhodes is recognized as one of the most beautiful campuses in the country,” says … “internships are widely available,” “students involved in community service,” “diverse student types interact on …