Le community manager à l’épreuve de la capitalisation des connaissances et des mémoires techniques
Bibliographic record
Abstract
Le rôle des community manager dans les organisations ne se résume pas à la gestion des réputations et des marques. Leurs missions portent également sur la mise en forme d’un environnement sociotechnique qui permet aux collaborateurs d’exercer leur travail. Nous aborderons ici le sujet du community management sous l’angle de la communication interne, ou managériale. Il s’agit plus précisément d’examiner l’hypothèse selon laquelle le community manager participe aux processus de capitalisation des connaissances organisationnelles. Celles-ci étant distribuées dans des dispositifs sociotechniques, nous aborderons également la notion de mémoire technique pour voir en quoi les objets techniques participent à la capitalisation des connaissances et, donc, aux pratiques de community management.
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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 | 0.041 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.013 | 0.023 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| 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; both teacher heads agree on what is shown here.
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".