L'action communautaire québécoise à l’ère du numérique
Bibliographic record
Abstract
Les transformations economiques et culturelles liees a la diffusion des technologies de l'information et de la communication (TIC) font apparaitre un nouveau type de militance au sein du mouvement communautaire quebecois. Ces nouveaux militants s'adonnent a des pratiques informatiques comme la programmation de logiciels libres ou la conception de dispositifs techniques - par exemple, l'acces a Internet haut debit libre et gratuit dans des cafes de Montreal - afin de favoriser une appropriation democratique des technologies. Nous les appelons les militants du code. Ce livre s'interesse aux idees et pratiques nouvelles suggerees par ces activistes de la technique. Il interroge le renouvellement possible des formes de l'action communautaire quebecoise a l'ere du numerique.En situant les activites communautaires dans le contexte d'emergence des medias numeriques, les auteurs proposent quatre analyses de collectifs communautaires concernes par ces transformations et examinent la possibilite d'un renouvellement des activites communautaires a l'aune du numerique. Ils cherchent a comprendre en quoi l'emergence de ces militants du code pourrait entrainer pour l'ensemble du mouvement communautaire un possible repositionnement politique et une redefinition de ses actions dans la collectivite quebecoise.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.026 | 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 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".