Comment la technologie opère le passage de l’action individuelle à l’action collective ? Une perspective possessive
Bibliographic record
Abstract
Nous soutenons que la technologie permet à la possession et à la propriété d’opérer la capture et l’agrégation de l’action individuelle. Ainsi, à travers la sociologie de Gabriel Tarde, nous proposons une théorisation de la propriété et de la possession plus riche que la définition légale qui prévaut dans les études organisationnelles en général, et en communication organisationnelle en particulier. En revisitant des études récentes sur les technologies numériques, cette nouvelle perspective révèle comment elles permettent l’appropriation de l’action par l’organisation. En guise de conclusion, nous nous interrogerons sur la distribution plus ou moins équitable de l’agentivité à la lumière des implications politiques de la technologie.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.045 |
| Scholarly communication | 0.017 | 0.026 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 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".