Search
57.048108 <= product of:
... 2.234576 <= sum of:
... ... 2.234576 <= weight(tm_X3b_en_rendered_item:place in 0) [SchemaSimilarity], result of:
... ... ... 2.234576 <= score(freq=2.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 1.511458 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 247.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.739212 <= 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)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... 25.529724 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775516400000),date(ds_created)=2026-03-24T21:58:08Z))+0.05)))
… Rhodes Mock Trial Team Set to Compete in Nationals for an Impressive 38th Year The … who secured the bid to nationals Published on: March 24, 2026 Rhodes College is thrilled to announce that its mock … appearance at the nationals. The tournament will take place April 17-19 in Washington, D.C. Mock trial features …
54.002773 <= product of:
... 5.062883 <= sum of:
... ... 0.919153 <= weight(tm_X3b_en_rendered_item:best in 31) [SchemaSimilarity], result of:
... ... ... 0.919153 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 1.561157 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 235.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.294382 <= 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
... ... ... ... ... 1944.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 1.231692 <= sum of:
... ... ... 1.231692 <= weight(tm_X3b_en_rendered_item:26 in 31) [SchemaSimilarity], result of:
... ... ... ... 1.231692 <= 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
... ... ... ... ... 0.294382 <= 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
... ... ... ... ... ... 1944.000000 <= dl, length of field (approximate)
... ... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 1.680347 <= weight(tm_X3b_en_rendered_item:place in 31) [SchemaSimilarity], result of:
... ... ... 1.680347 <= score(freq=3.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 1.511458 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 247.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.555870 <= 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
... ... ... ... ... 1944.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 1.231692 <= weight(tm_X3b_en_rendered_item:26 in 31) [SchemaSimilarity], result of:
... ... ... 1.231692 <= 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
... ... ... ... 0.294382 <= 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
... ... ... ... ... 1944.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... 10.666407 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775516400000),date(ds_created)=2026-02-04T16:49:26Z))+0.05)))
… Department of Music Helps Students Score Their Own Musical Stories Music mavens have flocked to Memphis, seeking a flash … With such a well to draw on, there aren’t many better places for aspiring musicians to get their start, and the … on Greek and Roman studies. Choir, it turned out, was the best path to pursue both. “My very first choir experience …
53.298068 <= product of:
... 5.113132 <= sum of:
... ... 2.159979 <= sum of:
... ... ... 2.159979 <= weight(tm_X3b_en_rendered_item:26 in 27) [SchemaSimilarity], result of:
... ... ... ... 2.159979 <= score(freq=3.0), 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
... ... ... ... ... 0.516248 <= 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
... ... ... ... ... ... 2328.000000 <= dl, length of field (approximate)
... ... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 0.793174 <= weight(tm_X3b_en_rendered_item:place in 27) [SchemaSimilarity], result of:
... ... ... 0.793174 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 1.511458 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 247.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.262387 <= 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
... ... ... ... ... 2328.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 2.159979 <= weight(tm_X3b_en_rendered_item:26 in 27) [SchemaSimilarity], result of:
... ... ... 2.159979 <= score(freq=3.0), 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
... ... ... ... 0.516248 <= 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
... ... ... ... ... 2328.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... 10.423761 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775516400000),date(ds_created)=2026-02-02T15:39:09Z))+0.05)))
… on the SpaceX Falcon 9 rocket during a resupply mission to the International Space Station (ISS). (Photo credit: … and even to HAM radio certification and licensing with the FCC. But it’s a road that every contributor embraced from … was mentored by physics professors Bentley Burnham (who replaced professor Joseph McPherson after his departure from …
50.097085 <= product of:
... 9.397392 <= sum of:
... ... 3.455239 <= sum of:
... ... ... 3.455239 <= weight(tm_X3b_en_rendered_item:26 in 6) [SchemaSimilarity], result of:
... ... ... ... 3.455239 <= score(freq=4.0), 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
... ... ... ... ... 0.825823 <= 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
... ... ... ... ... ... 504.000000 <= dl, length of field (approximate)
... ... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 2.486914 <= weight(tm_X3b_en_rendered_item:visit in 6) [SchemaSimilarity], result of:
... ... ... 2.486914 <= score(freq=2.0), 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
... ... ... ... 0.703321 <= 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
... ... ... ... ... 504.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 3.455239 <= weight(tm_X3b_en_rendered_item:26 in 6) [SchemaSimilarity], result of:
... ... ... 3.455239 <= score(freq=4.0), 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
... ... ... ... 0.825823 <= 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
... ... ... ... ... 504.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... 5.330956 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775516400000),date(ds_created)=2025-10-29T16:12:10Z))+0.05)))
… From Memphis to the World: Eckels Art Scholars Reflect on International Experience Erin Moore '26 (above left) interned in Ireland and Mika Colina '26 … Outside of work, Moore explored Ireland’s rich culture—visiting local markets, watching rugby matches, and …
49.781613 <= product of:
... 9.066282 <= sum of:
... ... 1.825173 <= sum of:
... ... ... 1.825173 <= weight(tm_X3b_en_rendered_item:26 in 7) [SchemaSimilarity], result of:
... ... ... ... 1.825173 <= 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
... ... ... ... ... 0.436227 <= 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
... ... ... ... ... ... 920.000000 <= dl, length of field (approximate)
... ... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 2.147964 <= weight(tm_X3b_en_rendered_item:visit in 7) [SchemaSimilarity], result of:
... ... ... 2.147964 <= score(freq=2.0), 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
... ... ... ... 0.607463 <= 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
... ... ... ... ... 920.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 1.825173 <= weight(tm_X3b_en_rendered_item:26 in 7) [SchemaSimilarity], result of:
... ... ... 1.825173 <= 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
... ... ... ... 0.436227 <= 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
... ... ... ... ... 920.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 3.267973 <= weight(tm_X3b_en_rendered_item:latest in 7) [SchemaSimilarity], result of:
... ... ... 3.267973 <= 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
... ... ... ... 0.436227 <= 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
... ... ... ... ... 920.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... 5.490852 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775516400000),date(ds_created)=2025-11-04T23:57:44Z))+0.05)))
… 100 Years in Memphis: A Long History Makes for Meaningful—and Fun—Traditions The annual … annual football game between Rhodes and Sewanee marks a 126-year ongoing rivalry between the two colleges. In 1954, … Finals Fairies Students get another break from finals with visits from the Finals Fairies! Arranged by Student Life and …
48.826747 <= product of:
... 2.207175 <= sum of:
... ... 2.207175 <= weight(tm_X3b_en_rendered_item:visit in 3) [SchemaSimilarity], result of:
... ... ... 2.207175 <= 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
... ... ... ... 0.624208 <= 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)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... 22.121826 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775516400000),date(ds_created)=2026-03-19T20:32:54Z))+0.05)))
… and Industry in Mississippi Published on: March 19, 2026 Dr. Casey Shin, assistant professor of politics and law … College, has released his first book titled From Nothing to Nissan: Industrial Policy in Mississippi (University … from West Virginia University in 2022. He served as a visiting assistant professor at Rhodes from 2021 to 2024 …
47.536636 <= product of:
... 7.958087 <= sum of:
... ... 3.092861 <= sum of:
... ... ... 3.092861 <= weight(tm_X3b_en_rendered_item:26 in 12) [SchemaSimilarity], result of:
... ... ... ... 3.092861 <= score(freq=2.0), 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
... ... ... ... ... 0.739212 <= 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)
... ... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 1.772365 <= weight(tm_X3b_en_rendered_item:place in 12) [SchemaSimilarity], result of:
... ... ... 1.772365 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 1.511458 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 247.000000 <= 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
... ... 3.092861 <= weight(tm_X3b_en_rendered_item:26 in 12) [SchemaSimilarity], result of:
... ... ... 3.092861 <= score(freq=2.0), 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
... ... ... ... 0.739212 <= 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)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... 5.973374 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775516400000),date(ds_created)=2025-11-21T14:46:24Z))+0.05)))
… at Biomedical Research Conference Jennifer Bui ’26 and Christopher Karohl ’27 Published on: November 21, … in biochemistry and molecular biology, received first place for his biology oral presentation based on research …
46.099457 <= product of:
... 8.318824 <= sum of:
... ... 3.215948 <= sum of:
... ... ... 3.215948 <= weight(tm_X3b_en_rendered_item:26 in 8) [SchemaSimilarity], result of:
... ... ... ... 3.215948 <= score(freq=2.0), 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
... ... ... ... ... 0.768631 <= 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
... ... ... ... ... ... 280.000000 <= dl, length of field (approximate)
... ... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 1.886928 <= weight(tm_X3b_en_rendered_item:place in 8) [SchemaSimilarity], result of:
... ... ... 1.886928 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 1.511458 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 247.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.624208 <= 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)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 3.215948 <= weight(tm_X3b_en_rendered_item:26 in 8) [SchemaSimilarity], result of:
... ... ... 3.215948 <= score(freq=2.0), 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
... ... ... ... 0.768631 <= 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
... ... ... ... ... 280.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... 5.541583 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775516400000),date(ds_created)=2025-11-06T21:52:44Z))+0.05)))
… Artwork by Charley Robinson ’26 Selected for Bellwethers Annual Juried Exhibition … Art. The title of her work is Me, Myself, and My Ancestors . The show runs now through Nov. 14 at the West … awards ceremony for the Bellwethers exhibition will take place on Nov. 14. …
45.202783 <= product of:
... 4.808913 <= sum of:
... ... 2.404456 <= sum of:
... ... ... 2.404456 <= weight(tm_X3b_en_rendered_item:26 in 25) [SchemaSimilarity], result of:
... ... ... ... 2.404456 <= 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
... ... ... ... ... 0.574680 <= 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
... ... 2.404456 <= weight(tm_X3b_en_rendered_item:26 in 25) [SchemaSimilarity], result of:
... ... ... 2.404456 <= 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
... ... ... ... 0.574680 <= 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
... 9.399793 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775516400000),date(ds_created)=2026-01-23T16:51:31Z))+0.05)))
… Art Professor David McCarthy Published on: January 23, 2026 Updated January, 29, 2026: The opening reception has been moved to February 6, 5-7 p.m. A new exhibition celebrating the … Clough-Hanson Gallery. McCarthy has taught at Rhodes for more than three decades, during which he has developed a …
44.322442 <= product of:
... 6.969397 <= sum of:
... ... 3.484698 <= sum of:
... ... ... 3.484698 <= weight(tm_X3b_en_rendered_item:26 in 13) [SchemaSimilarity], result of:
... ... ... ... 3.484698 <= score(freq=3.0), 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
... ... ... ... ... 0.832864 <= 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
... ... ... ... ... ... 280.000000 <= dl, length of field (approximate)
... ... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 3.484698 <= weight(tm_X3b_en_rendered_item:26 in 13) [SchemaSimilarity], result of:
... ... ... 3.484698 <= score(freq=3.0), 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
... ... ... ... 0.832864 <= 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
... ... ... ... ... 280.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... 6.359581 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775516400000),date(ds_created)=2025-12-02T18:14:19Z))+0.05)))
… Rhodes Historical Review Awarded Prize from Phi Alpha Theta National … print category of the 2025 Nash History Journal competition. Sarah Dassinger and Muhammad Waraich of the … in the edition include Luke Crocker ’25, Tanner Chapman ’26 Peyton Randolph ’26, and Ava Tighe ’26. Published …