Description lexicographique du vocable breton KEUZ ‘regret’
Bibliographic record
Abstract
The paper proposes a lexicographic description of the polysemous word keuz ‘≈ regret’, from the Vannetais dialect of Breton. Our description is based both on written and oral usage, the latter being mostly that of the Pontivy region, in the North of the Department of Morbihan. Some of the wordsenses, not represented in the existing dictionaries of Breton, are described here for the first time. The theoretical frame of reference adopted is the Explanatory-Combinatorial Lexicology (ECL) of the Meaning-Text theory, a cutting-edge lexicological theory applied here for the very first time to a description of Breton data. An ECL-style lexicographic description, which, on the one hand, strives to make available to speakers all linguistic means necessary for an idomatic use of lexical units and, on the other hand, obeys formal descriptive principles, is not readily accessible to a non-initiated user. Therefore, the first part of the paper is dedicated to an explanation of the notions necessary for the comprehension of the lexicographic description proper.
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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 | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".