Bibliographic record
Abstract
Samuel Plimsoll was an advocate and agitator for improving safety at sea, best known for the load line mark on ships’ sides. He also campaigned for better safety of hazardous grain cargoes. But he suffered from an impetuous character, a lack of knowledge of the issues he championed and he frequently showed little regard for fact. How successful he was at achieving real legislative change? His grain cargoes agitation is compared with the earlier load line campaign which, it is argued here was completed without his input by others who understood the issues. Was the grain cargoes resolution any different? Porte-parole et fauteur de troubles, Samuel Plimsoll prônait l’amélioration de la sécurité en mer, surtout au moyen de lignes de charges sur les flancs des navires. Il a également fait campagne pour une meilleure sécurité des cargaisons de grains dangereuses. Mais il était aussi impétueux, affichait une ignorance au niveau des causes qu’il défendait et, souvent, accordait peu d’attention aux faits. Dans quelle mesure a-t-il réussi à obtenir de véritables changements législatifs? L’auteur compare les arguments de Plimsoll relatifs aux cargaisons de grains à sa campagne précédente sur les lignes de charges qui, aux dires de l’auteur, a été menée à bien sans son intervention par d’autres qui comprenaient les problèmes. La résolution de la question des cargaisons de grains s’est-elle avérée différente?
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.012 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".