Naarjuk (Gros-ventre), l'enfant-géant, maître du cosmos ( Sila ). Que donne-t-il aux Inuit, et qu'en reçoit-il ?
Bibliographic record
Abstract
Il y a cent-dix ans, Marcel Mauss consacrait son enseignement aux Inuit, notamment ceux du Canada, alors chasseurs-cueilleurs, animistes et semi-nomades, chez qui le cycle dualiste des saisons marquait la vie sociale, économique et morale. Il parlait à leur sujet de « communisme primitif ». Cette utopie du XIX e siècle, qui le fascinait, faisait pendant à la montée de l’individualisme et du capitalisme, lesquels, aujourd’hui, dominent le monde et, a fortirori , les Inuit ; car l’Occident a désormais une emprise sur leurs corps (médecine), leurs esprits (éducation), leur spiritualité (religions du Livre, rejet du chamanisme) et leurs ressources naturelles (multinationales). Face au risque de désintégration de ce peuple (suicide des jeunes, abus de psychotropes...) et de ses valeurs, je propose d’inverser le regard sur lui, en montrant que sa cosmologie et sa pensée, loin d’être irrationnelles, rejoignent de façon intuitive et empirique les découvertes récentes des neurosciences et de l’astrophysique. L’Occident devrait s’en inspirer pour repenser ses problèmes de société.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.027 | 0.006 |
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".