La cérémonie du calumet ou l’ethnographie d’une expérience extraordinaire au sein de Notcimik (l’univers forestier des Atikamekw Nehirowisiwok, Québec)
Bibliographic record
Abstract
Cet article discute de l’apport des travaux de Jean-Guy Goulet dans les réflexions de l’auteur et dans ses façons d’aborder le terrain ethnographique. Il souligne notamment la pertinence des expériences oniriques du chercheur et des enseignements transmis par Notcimik, l’univers forestier des Atikamekw Nehirowisiwok, dans les matériaux ethnographiques. La réflexion est articulée ici autour d’une ethnographie d’une expérience personnelle vécue dans des relations sociales profitables ayant permis de mieux vivre et saisir certains principes, pratiques et savoirs des Atikamekw Nehirowisiwok. L’expérience ethnographique décrite dans cet article rejoint ce que Goulet (2007) décrit comme une « anthropologie extraordinaire », c’est-à-dire un engagement du chercheur dans des façons radicalement différentes de comprendre et d’habiter la réalité.
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 | 0.002 |
| Science and technology studies | 0.021 | 0.020 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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".