Analyse d’une stratégie collective manquée. Le cas de 1001Libraires.com dans le commerce du livre
Bibliographic record
Abstract
Cet article se propose d’analyser un cas d’échec stratégique, 1001libraires.com, en s’appuyant sur les travaux consacrés aux stratégies collectives. Si le projet réunissait initialement un ensemble de conditions économiques favorable à son succès, il n’a fonctionné qu’une année révélant les difficultés de management de l’action collective dans la profession. Les entretiens conduits auprès d’acteurs clés du portail, ont montré que les objectifs individuels n’ont pas été dès le départ, suffisamment convergents pour rendre le projet viable et que cette incompatibilité originelle a généré des choix stratégiques de compromis qui n’étaient en adéquation ni avec les besoins du marché ni avec les ressources financières mobilisées.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".