Et si nous dansions ? Pour une politique du bien commun au Canada
Bibliographic record
Abstract
Et si nous dansions ? Pour une politique du bien commun au Canada, Charles Blattberg, Montréal : Les Presses de l'Université de Montréal, 2004, 213 pages. Notre pays est-il voué à l'éclatement ? Est-il possible de songer à la re-fondation du Canada autour de valeurs qui emporteraient l'adhésion de toutes les citoyennes et tous les citoyens ? Voilà les questions auxquelles Charles Blattberg tente de répondre dans son livre Et si nous dansions ? Contrairement à l'analyse d'autres auteurs, il croit qu'il est possible de définir un bien commun, à condition que celui-ci soit constitué de ce que Blattberg appelle des “ règles expressives ”, c'est-à-dire des principes qui sont l'expression de ce que nous sommes individuellement et collectivement.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.015 | 0.016 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.012 | 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".