Search
7.568648 <= product of:
... 6.132511 <= sum of:
... ... 2.924389 <= weight(tm_X3b_und_rendered_item:26 in 1345) [SchemaSimilarity], result of:
... ... ... 2.924389 <= 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
... ... ... ... 0.537470 <= 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
... ... ... ... ... 472.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 0.283734 <= weight(tm_X3b_und_rendered_item:for in 1345) [SchemaSimilarity], result of:
... ... ... 0.283734 <= score(freq=5.0), 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
... ... ... ... 0.853159 <= 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
... ... ... ... ... 472.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 2.924389 <= sum of:
... ... ... 2.924389 <= weight(tm_X3b_und_rendered_item:26 in 1345) [SchemaSimilarity], result of:
... ... ... ... 2.924389 <= 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
... ... ... ... ... 0.537470 <= 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
... ... ... ... ... ... 472.000000 <= dl, length of field (approximate)
... ... ... ... ... ... 757.801600 <= avgdl, average length of field
... 1.234184 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775430000000),date(ds_created)=2017-04-26T20:00:46Z))+0.05)))
… Co. Video April 28 Kirkwood Vangeli ’17 Published on: April 26, 2017 When it came time for Kirkwood Vangeli ’17 to choose a venue for the premiere … downtown Memphis church being restored for use as a community space. “The Clayborn Temple space fits into our …
7.519473 <= product of:
... 4.150291 <= sum of:
... ... 2.075146 <= weight(tm_X3b_en_rendered_item:26 in 279) [SchemaSimilarity], result of:
... ... ... 2.075146 <= 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
... ... ... ... 0.495972 <= 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
... ... ... ... ... 664.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 2.075146 <= sum of:
... ... ... 2.075146 <= weight(tm_X3b_en_rendered_item:26 in 279) [SchemaSimilarity], result of:
... ... ... ... 2.075146 <= 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
... ... ... ... ... 0.495972 <= 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
... ... ... ... ... ... 664.000000 <= dl, length of field (approximate)
... ... ... ... ... ... 834.355040 <= avgdl, average length of field
... 1.811794 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775430000000),date(ds_created)=2023-09-19T18:51:53Z))+0.05)))
… officially disbanded. Less than a year later, ROO had been completely revamped under a new executive board and named … Rutledge ’25. “And we had no one who had been in ROO before the pandemic, much less anyone who had been on the … the organization’s first hike, ROO Treasurer Joshua Morris ’26 says, “It should have been a disaster. Sixty people …
7.518032 <= product of:
... 6.231742 <= sum of:
... ... 2.985369 <= weight(tm_X3b_und_rendered_item:26 in 1028) [SchemaSimilarity], result of:
... ... ... 2.985369 <= 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
... ... ... ... 0.548677 <= 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
... ... ... ... ... 440.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 0.261004 <= weight(tm_X3b_und_rendered_item:for in 1028) [SchemaSimilarity], result of:
... ... ... 0.261004 <= score(freq=3.0), 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
... ... ... ... 0.784813 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 3.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 440.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 2.985369 <= sum of:
... ... ... 2.985369 <= weight(tm_X3b_und_rendered_item:26 in 1028) [SchemaSimilarity], result of:
... ... ... ... 2.985369 <= 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
... ... ... ... ... 0.548677 <= 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
... ... ... ... ... ... 440.000000 <= dl, length of field (approximate)
... ... ... ... ... ... 757.801600 <= avgdl, average length of field
... 1.206409 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775430000000),date(ds_created)=2016-02-09T21:03:47Z))+0.05)))
… winning the Southern Athletic Association (SAA) conference; competing in the NCAA tournament; and placing players on the … Cleanthes has also initiated two major fundraising efforts—one in 2008 to add a grand stand, press box, new … at Rhodes in December 2015 after leading the program for 26 years. …
7.515183 <= product of:
... 4.832402 <= sum of:
... ... 4.832402 <= weight(tm_X3b_en_rendered_item:latest in 37) [SchemaSimilarity], result of:
... ... ... 4.832402 <= 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
... ... ... ... 0.645056 <= 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
... ... ... ... ... 232.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... 1.555165 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775430000000),date(ds_created)=2022-07-08T19:19:12Z))+0.05)))
… Control and the Making of the American Nation.” Her latest book 8 Billion and Counting: How Sex, Death, and … the Wilson Center is the nation’s key non-partisan policy forum for tackling global issues through independent research and …
7.511253 <= product of:
... 5.118759 <= sum of:
... ... 3.477418 <= weight(tm_X3b_en_rendered_item:latest in 72) [SchemaSimilarity], result of:
... ... ... 3.477418 <= 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
... ... ... ... 0.464185 <= 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)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 1.641341 <= weight(tm_X3b_en_rendered_item:visit in 72) [SchemaSimilarity], result of:
... ... ... 1.641341 <= score(freq=1.0), 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
... ... ... ... 0.464185 <= 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)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... 1.467397 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775430000000),date(ds_created)=2021-10-21T15:23:39Z))+0.05)))
… Health Equity With Physician Training, Public Lectures, and Community Partnerships Published on: October 21, 2021 … developing health equity education in Memphis hospitals for current and future physicians; and deepening … arts education, our Health Equity Fellows have made site visits and reflected on their experiences,” adds Iris …
7.489071 <= product of:
... 6.093910 <= sum of:
... ... 2.082808 <= weight(tm_X3b_und_rendered_item:visit in 1278) [SchemaSimilarity], result of:
... ... ... 2.082808 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 2.254230 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 80.000000 <= n, number of documents containing term
... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... 0.461978 <= 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
... ... ... ... ... 728.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 0.278509 <= weight(tm_X3b_und_rendered_item:for in 1278) [SchemaSimilarity], result of:
... ... ... 0.278509 <= score(freq=6.0), 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
... ... ... ... 0.837450 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 6.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 728.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 3.732593 <= weight(tm_X3b_und_rendered_item:latest in 1278) [SchemaSimilarity], result of:
... ... ... 3.732593 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 4.039797 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 13.000000 <= n, number of documents containing term
... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... 0.461978 <= 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
... ... ... ... ... 728.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... 1.228944 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775430000000),date(ds_created)=2017-02-10T15:40:24Z))+0.05)))
… a big inconvenience. That fact became his inspiration for the Kangaroozie™, a can cooler (koozie) with a waterproof compartment to store valuables. Recently, the enterprising … will come true.” To learn more about the Kangaroozie, visit its Facebook page . …
7.437290 <= product of:
... 4.715376 <= sum of:
... ... 2.357688 <= weight(tm_X3b_en_rendered_item:26 in 510) [SchemaSimilarity], result of:
... ... ... 2.357688 <= 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
... ... ... ... 0.563501 <= 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
... ... ... ... ... 440.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 2.357688 <= sum of:
... ... ... 2.357688 <= weight(tm_X3b_en_rendered_item:26 in 510) [SchemaSimilarity], result of:
... ... ... ... 2.357688 <= 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
... ... ... ... ... 0.563501 <= 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
... ... ... ... ... ... 440.000000 <= dl, length of field (approximate)
... ... ... ... ... ... 834.355040 <= avgdl, average length of field
... 1.577242 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775430000000),date(ds_created)=2022-08-30T19:01:38Z))+0.05)))
… the seventh annual Indie Memphis Youth Film Fest held Aug. 26 at the Halloran Centre. Kelley produced the film with two … in 2018 and 2019 as winner of the event’s Grand Jury Prize for two consecutive years. “Dealing with intercommunal harm, the duality of nature and monstrosity, and …
7.419588 <= product of:
... 6.097894 <= sum of:
... ... 3.048947 <= weight(tm_X3b_und_rendered_item:26 in 899) [SchemaSimilarity], result of:
... ... ... 3.048947 <= 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
... ... ... ... 0.560362 <= 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)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 3.048947 <= sum of:
... ... ... 3.048947 <= weight(tm_X3b_und_rendered_item:26 in 899) [SchemaSimilarity], result of:
... ... ... ... 3.048947 <= 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
... ... ... ... ... 0.560362 <= 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)
... ... ... ... ... ... 757.801600 <= avgdl, average length of field
... 1.216746 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775430000000),date(ds_created)=2016-08-05T14:08:53Z))+0.05)))
… (reported in Watts/m 2 ). The Sun emits energy like a 10 26 Watt lightbulb, but that is diminished as it spreads out … view of the sky to the west-northwest, allowing a view of incoming storms as they cross from Arkansas into Tennessee. …
7.404392 <= product of:
... 6.152321 <= sum of:
... ... 2.924389 <= weight(tm_X3b_und_rendered_item:26 in 1003) [SchemaSimilarity], result of:
... ... ... 2.924389 <= 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
... ... ... ... 0.537470 <= 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
... ... ... ... ... 472.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 0.303543 <= weight(tm_X3b_und_rendered_item:for in 1003) [SchemaSimilarity], result of:
... ... ... 0.303543 <= score(freq=9.0), 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
... ... ... ... 0.912726 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 9.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 472.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 2.924389 <= sum of:
... ... ... 2.924389 <= weight(tm_X3b_und_rendered_item:26 in 1003) [SchemaSimilarity], result of:
... ... ... ... 2.924389 <= 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
... ... ... ... ... 0.537470 <= 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
... ... ... ... ... ... 472.000000 <= dl, length of field (approximate)
... ... ... ... ... ... 757.801600 <= avgdl, average length of field
... 1.203512 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775430000000),date(ds_created)=2015-12-18T19:41:45Z))+0.05)))
… athletics director in spring 2016 after leading the program for 26 years. Prior to becoming AD in 1990, Clary coached for 11 years at the …
7.382819 <= product of:
... 4.455393 <= sum of:
... ... 2.227697 <= weight(tm_X3b_en_rendered_item:26 in 352) [SchemaSimilarity], result of:
... ... ... 2.227697 <= 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
... ... ... ... 0.532433 <= 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
... ... ... ... ... 536.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 2.227697 <= sum of:
... ... ... 2.227697 <= weight(tm_X3b_en_rendered_item:26 in 352) [SchemaSimilarity], result of:
... ... ... ... 2.227697 <= 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
... ... ... ... ... 0.532433 <= 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
... ... ... ... ... ... 536.000000 <= dl, length of field (approximate)
... ... ... ... ... ... 834.355040 <= avgdl, average length of field
... 1.657052 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775430000000),date(ds_created)=2023-02-08T15:27:58Z))+0.05)))
… Students Spearhead Sustainabilty Efforts with Key Partner Bon Appetit (l to r) The executive … Mueller '23, Violet Reynolds O'Brien '25, Olivia Alejandre '26 Published on: February 08, 2023 The Rhodes gardening … club, Roots, successfully launched the college’s first-ever compost project last semester, but the campus community is …