Raconter sa journée : des histoires de conversations dans la conversation
Bibliographic record
Abstract
La conversation prend une forme spécifique lorsque des proches « racontent leur journée », récapitulent leurs occupations récentes. Cette forme tient notamment au fait que ces occupations sont généralement elles-mêmes des conversations. Elle est une activité conversationnelle qui a ses règles propres et mérite d’être prise en compte. Notre recherche repose sur des données qui 1o font référence à des événements passés et sont donc fondamentalement narratives; 2o font référence à des conversations et mettent ainsi en jeu des paroles rapportées; 3o font référence au passé immédiat et portent donc sur des événements banals. L’analyse de ces conversations fournit l’occasion de contribuer à l’élaboration d’un cadre d’analyse des différentes productions narratives conversationnelles, en fonction notamment de leur potentiel informatif, narratif et argumentatif.
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 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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.015 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".