Classes verbales et changements de valence en inuktitut (Nunavik)
Bibliographic record
Abstract
Cet article consiste en une présentation systématique des faits de valence verbale en inuktitut. Il utilise des exemples agrammaticaux, mais se fonde avant tout sur la fréquentation et l’analyse de ce que les Inuit du Nunavik disent et écrivent spontanément dans leur langue. Les outils théoriques mobilisés sont ceux de la typologie syntaxique. La thèse centrale est qu’il est utile, pour comprendre les faits de valence en inuktitut, d’admettre que les bases verbales se répartissent en cinq classes, comme l’avait établi Lucien Schneider (1967). Chaque classe verbale est compatible avec certains changements de valence, pas avec les autres. De plus, certains changements de valence peuvent en affecter un ou plusieurs autres. L’article présente les diverses combinaisons possibles. Il tient compte d’un changement de valence important en inuktitut, qui nous semble ne pas avoir encore été identifié pour ce qu’il est : le médiopassif.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".