Bibliographic record
Abstract
Résumé Le crédit marchand au XVIIIesiècle était la principale source de profit des agents économiques. Gérant numéraire, effets de commerce et comptes courants ouverts à leurs clients, des négociants atlantiques, tels Gradis de Bordeaux, qui importait des produits coloniaux (indigo, sucre, café) et exportait vin et farines vers Québec, ouHollingsworth de Philadelphie, un gros marchand de farines et de denrées coloniales, dominaient les marchés locaux grâce à des réseaux de crédit spécialisés intégrant l’échange marchand et des contraintes morales ou sociales. Les analyses weberienne ou en termes d’Homo oeconomicusde ces activités complexes de crédit conduisent à des anachronismes ; l’auteur propose d’adopter une vision plus historicisée de l’activité économique, des réseaux de crédit et de la recherche du profit à l’époque moderne.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.027 | 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".