Bibliographic record
Abstract
Alors que j’arpentais les chantiers du Grand Ouest de la France en 2008 à chaque occasion qui m’était offerte, j’ai découvert un sloop bermudien de la classe 3 du RORC (Royal Oceanic Racing Club) avec un arrière « canoë » dessiné par Cornu en 1948. Ce magnifique petit voilier aurait pu disparaître. Eh bien non, sur l’une de ces folies qu’on ne regrette jamais, j’en ai décidé autrement. Dès l’acquisition et l’attente des premiers travaux, j’ai recherché l’histoire de ce racer-cruiser et de ses équipages… De la découverte d'un palmarès honorable et d'une histoire en lien avec l’icône de la voile française, le classement en tant que monument historique est intervenu, et c’est à cet instant que j’ai revêtu l’habit d’un passeur d’histoire et de patrimoine, et que la rédaction d’un livre est devenue une évidence pour moi.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 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".