Étude interdisciplinaire sur la coopération visuelle et verbale dans le document technique
Bibliographic record
Abstract
Dans cet article, nous examinons grâce à une approche pluridisciplinaire, au carrefour de l’analyse du discours, de la sémiotique et la de la psychologie cognitive, les relations texte/figure dans les communications techniques. Ces relations sont d’abord analysées par le biais de la structure interne de chaque mode d’expression, en privilégiant une approche inspirée par la sémiotique. L’accent est…In this paper, we examine through a multidisciplinary approach – at the crossroad of discourse analysis, semiotics and cognitive psychology – text-figure relations in technical communication. These relations are firstly analysed by means of the inner structure of each mode of expression, privileging an approach inspired by the semiotics. Emphasis is…
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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 | 0.023 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.015 | 0.010 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| 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".