Bibliographic record
Abstract
Les mots de l’inuktitut sont généralement composés d’un certain nombre de morphèmes dont chacun a son sens propre. L’analyse sémantique de ces parties composantes révèle souvent une signification sous-jacente qui diffère de celle du mot dans son entier, tout en lui étant liée. La plausibilité des significations ainsi mises en lumière varie selon la technique d’analyse utilisée : découpage morphologique en synchronie, recours à l’inférence sémantique, ou à l’étymologie proto-eskimo. Dans tous les cas, cette lecture analytique des mots inuit est révélatrice des images et représentations « cachées » qu’ils peuvent véhiculer. Trois exemples de ce type de lecture sont présentés ici : la relation entre corps et numération, la parenté par alliance, et l’union entre le chamane et ses esprits auxiliaires. On peut postuler que de telles données fournissent aux locuteurs et locutrices d’aujourd’hui des éléments de réflexion inédits sur la richesse sémantique insoupçonnée de leur propre langue.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".