University of Southern California vs Oregon, 1955
Bibliographic record
Abstract
17 images. University of Southern California vs Oregon, 23 September, 1955. "Football". "Sports" (Sleeve reads: SP 11670).; Caption slip reads: "Photographer: Jensen. Date: 09-23. Assignment: USC vs Oregon. 1st quarter -- J-27: 40 1st TD Oregon. J-28: 26 pass 40 SC to 4 yd line before 1st SC TD. J-29: 26 1st TD SC. 2nd quarter -- J-32: 40 screen(?) pass to 16 yd line. J-33: 18 SC to 81 SC pass broke up by Oregon 30 sec. to go over goal line. 3rd quarter -- J-3: 34 SC to 6 yd line. 4th quarter -- J-35: Arnett 90 yd run for TD".; Other caption slip reads: "Photographer: Monte[verde]. Date: 09-23. Assignment: SC vs Oregon. 1st quarter -- 40: 30 Oregon tackled by 26 SC made 28 yd. 41: 40 SC tackled by 67 Oregon -- made 1st down. 2nd quarter -- 32: Out of bounds on 1 yd line. 33: 1st SC TD. 9: 31 Oregon fumbled, recovered by 37 SC. 10: SC 82 catches pass in end zone for 3 SC TD. 81: 80 SC receives 84 & 50 Oregon defending in end zone -- Incomplete. 3rd quarter -- 30: 4th SC TD. 31: 30 Oregon tackled by 54 & 81 SC on 40 yd line. Penalty on play. 25: 42 SC tackled by 12 Oregon. Penalty on play".; Supplementary material includes: "Probable starting lineup for Oregon and Southern California".
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.569 | 0.175 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".