Bibliographic record
Abstract
C e texte inédit de Marcel Mauss a été découvert au moment où, dans le cadre de la recherche qui devait aboutir à la publication de notre livre sur Marcel Mauss, nous effectuons l'inventaire du Fonds Hubert-Mauss au Collège de France.II s'agit de notes préparatoires pour une communication qu'il devait présenter au Congrès international des sciences anthropologiques et Ethnologiques qui se tint à Copenhague dans le courant de l'été 1938 1 .Ces notes se présentent sous la forme d'un manuscrit de neuf feuillets, écrits d'un seul côté.Très difficile à déchiffrer, ce brouillon, hâtivement jeté sur le papier, est manifestement incomplet, s'achevant notamment sur une série d'indications de style télégraphique, sans doute destinées à être utilisées en guise d'aide-mémoire.À l'occasion de ce congrès, Mauss s'est rendu au Danemark en compagnie de huit de ses élèves:
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 | 0.002 | 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 | 0.007 | 0.023 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".