S. S. Winnipeg, French Liner, in drydock, with ripped bottom ...at Todd's Los Angeles Shipyards, San Pedro, 1951
Bibliographic record
Abstract
2 images. S. S. Winnipeg, French Liner, in drydock, with ripped bottom ...at Todd's Los Angeles Shipyards, San Pedro, 29 December 1951. Robert Lampietti, Pacific Coast Representative of French Liner (Inspecting damage); Jack Scotto, Los Angeles Manager (Inspecting damage).; Supplementary material reads: "Gershon. 1951-12-29. No. 4-5: Bids will be asked for repairs to badly scarred bottom of French Line freighter Winnepeg shown here in drydock in the Todd's Los Angeles shipyards, San Pedro. The ship struck uncharted granit-like pinnacle protruding just high enough to act like can-opener on ship's bottom. In picture, Robert Lampietti, Pacific Coast Representative of French Line, and Jack Scotto, Los Angeles manager, inspect damage. Damage shown extends 340 feet of ship's length. Damage was unofficially estimated at more than $250,000. In some places only one inch of steel prevented ship's bottom tanks from being ripped open".
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.137 | 0.174 |
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".