De l'intérêt d'articuler les dimensions discursive et interactionnelle de la conversation. Le cas d'une profession en voie de légitimation
Bibliographic record
Abstract
Cet article est consacré à deux dimensions bien connues de la conversation (au sens large du terme) : les dimensions discursive et interactionnelle. L’objectif est de montrer que leur articulation dans l’analyse de tout ensemble de données enrichit notre compréhension de ses enjeux en ce qui a trait à la question des rapports entre l’échelle locale de l’événement singulier de parole et l’échelle globale des patterns sociaux. L’analyse s’appuie sur des consultations sage-femme/cliente au Québec. Sur le plan interactionnel, la consultation se distingue peu des interactions médecin/patient. Sur le plan discursif cependant, les sages-femmes construisent une identité distincte de celle des médecins. Seule l’articulation des deux dimensions de ce que l’on peut observer à l’échelle micro du langage permet de dresser un portrait précis de ce qui se passe à l’échelle sociale macro.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".