An account of Lakota verbal affixes in transitive stative verbs
Bibliographic record
Abstract
Il n’y a pas de raison de penser que les langues doivent obéir à des grammaires parfaitement structurées, sans anomalie en ce qui concerneles conjugaisons verbales, le marquage en cas, l'encodage des arguments, etc., et en effet c’est rarement le cas. De plus, il est facile de trouver des langues dont le système verbal manifeste de nombreuses irrégularités et, de ce fait, il semble plausible qu’il puisse aussi y avoir des verbes avec, par exemple, des configurations anormales d’indexation et de référence aux actants. Dans cet article, nous cherchons à mieux comprendre l’origine d’un groupe de verbes peu représentés que l’on appelle “verbes transitifs d’état” en Lakota, une langue Sioux à intransitivité scindé parlée aux États-Unis d’Amérique et au Canada, et qui présente un comportement extrêmement rare en termes de références croisées
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".