Les approches constitutives à l’épreuve du terrain. Constituer ou rendre malléables les textes
Bibliographic record
Abstract
Nous nous concentrons sur la notion de texte, entrevue comme relevant d’un processus de stabilisation. Cette fixité du texte est travaillée par l’Ecole de Montréal par le concept d’agentivité, - parce que stable, le texte est à même de faire circuler l’action. Nous cherchons à prolonger cette perspective en soulignant que derrière les jeux d’agentivité se jouent des jeux de pouvoir. Sur la base de l’étude d’un processus de certification d’un établissement de santé, nous montrons dans quelle mesure les textes, à la fois dans leur dimension significative et agentive, sont au cœur de formes de « malléabilisation », représentatives de processus de régulation du sens, qui établissent la dimension organisante de la communication à nos yeux.
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 | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.028 |
| Scholarly communication | 0.016 | 0.016 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".