Canadian sailors drive off Los Angeles River bridge at Ocean Boulevard, Long Beach... only one slightly hurt, 1952
Bibliographic record
Abstract
5 images. Canadian sailors drive off Los Angeles River bridge at Ocean Boulevard, Long Beach... only one slightly hurt, 29 March 1952. Joe Valenzuela, Fireman; Sailors unidentified. (Sleeve reads: A9524).; Caption slip reads: "Photographer: Emery. Date: 1952-03-29. Reporter: Emery. Assignment: 4 Canadian sailors in auto dive off LA River bridge, Ocean Blvd., Long Beach 6:30 pm swim to shore. 62: Looking through crown on bridge, where rail torn away, wheels of sunk car in background. 32: Canadian sailor last name Burgess showing fireman Joe Valenzuela gash on leg---only injury in the 30-foot plunge. Various shots of wet sailors milling in crowd with firemen, policemen, spectators etc. while noses were being counted to see if everybody got ashore. Various shots of wheels sticking out of 8-foot water in LA river, with spectators, bridge & broken rail".
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.146 | 0.181 |
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".