Bibliographic record
Abstract
The aim of this introduction paper is to justify a grammatical approach of dialogism. Jacques Bres and Sylvie Mellet argue for the hypothesis that the language system (rather than the mere discourse level) has the potential to express dialogic phenomena and possesses specific markers to this end. They first specify the concept of dialogism by confronting it with other similar notions like polyphony or enunciative heterogeneity. They then examine the – either grammatical or lexical – nature of the elements by which dialogism is marked. They notably point out the recurrent association between the dialogic function of some markers and their grammaticalization. By the way, they also justify the choice of developing this analysis within the theoretical framework of French enunciative linguistics : indeed, they show that by articulating dialogism to the grammatical system, it is necessary to conceptualize the connexion between language and speech in terms of enunciative actualization.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.021 | 0.007 |
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".