Bibliographic record
Abstract
L'anthropologie économique a connu de multiples développements depuis ses débuts au 19e siècle avec l'évolutionnisme de Morgan). C'est vraiment dans les années 1920, avec Malinowski et Mauss, que cette discipline a commencé à se développer. Polanyi en 1944 a critiqué l'économie classique et l'économie marginaliste en la pré.sentant comme inadéquate pour parler de sociétés autres que les société capitalistes. Depuis ce temps, l'anthropologie économique a rejeté l'application universelle des méthodes et concepts de la science économique, faisant valoir que les sociétés tribales ou d'horticulture ne fonctionnent pas selon le modèle de l'économie proposée par cette discipline. Dans les dernières décennies, l'anthropologie économique a connu des développements importants, influencés par la théorie de la modernisation, l'écologie, le féminisme, le marxisme. Ce champ de l'anthropologie est devenu un champ riche et diversifié.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.032 | 0.008 |
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".