Sociétés littorales, gens de mer et activités maritimes dans un port en mutation. L'exemple des Sables-d'Olonne (1747-1866).
Bibliographic record
Abstract
Seafarers form, in Les Sables-d'Olonne, an old fishing port, a homogeneous social group throughout the period studied (1747-1866); a group that has adapted to the evolutions of fisheries and the internal transformation of the port city. The prosopographyoriented approach of this thesis is based on a corpus of 682 individuals, which makes it possible to follow the careers of these men since their entry into the trade as cabin boys until their inscription to the "Hors-service". The story of these men at the bottom of the social ladder leads to a better understanding of the social and economic aspects of the port des Sables over the long term. Each social stratum is thus apprehended: from the mass of sailors to the elite captains of ships without neglecting the world of traders and shipowners. A port that abandoned, after the French Revolution, what made its reputation with the Great fishing in Newfoundland to take root in a new activity around 1830-1860 based on the exploitation of the sardine. This booming fishery will revolutionize the city, which is then transformed by the opening of many factories, the development of port infrastructure and the influx of migrants to complement both the crews and providing women with a seasonal employment made possible by the work of the fish industry. This thesis is a story of men, women and children, all linked together and facing the sea in a port in profound mutation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".