La fabrique des analyses qualitatives The construction of qualitative analysis - perspectives on processes of collaboration
Bibliographic record
Abstract
Dans cet article, notre contribution consiste montrer que des espaces de communication comme les runions de travail participent l'actualisation et la mise en scne de connaissances organisationnelles.L'ide est alors de rendre descriptibles et intelligibles les processus communicationnels contribuant l'actualisation de connaissances.Les connaissances cres ne sont pas vues comme des donnes, des produits, mais comme des connaissances performes dans et par les interactions.Nous montrerons qu'tudier les connaissances organisationnelles selon une perspective interactionniste, c'est s'intresser leur accomplissement pratique, leur mise en scne au cours de l'interaction.Autrement dit, c'est saisir leur dynamique de construction.Pour illustrer notre propos, nous prsenterons les rsultats d'une recherche ethnographique mene de septembre 2008 septembre 2009 dans un bureau d'experts-conseils en environnement.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".