Notes sur la distribution géographique de certaines formes pronominales atones dans les parlers des Alpes‑Maritimes (PAM)
Bibliographic record
Abstract
Nous analysons des données des cahiers PAM (Parlers des Alpes-Maritimes, Dalbera, 1994), provenant d’entrevues orales menées entre 1972 et 1981. Nous examinons les pronoms atones objets des différentes localités afin d’identifier les variations morphologiques à travers cette région ainsi que des systèmes pronominaux distincts. Nous comparons nos données avec celles des études antérieures, notamment les résultats de Dalbera (1985-1986, 1994) et de Sumien (2006). Nous constatons aussi une forme distincte (non syncrétique) pour le pronom datif à la troisième personne du pluriel, lor, que les locuteurs emploient dans seulement une des localités pour lesquelles nous avons des données, ainsi qu’une forme opaque, n’i’n, qui représente la fusion du pronom datif avec le pronom génitif dans la partie occidentale des Alpes-Maritimes. Nous comparons la distribution géographique de cette forme opaque n’i’n avec celle des systèmes pronominaux.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.012 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".