Book Review: L'avenir du fédéralisme en Belgique et au Canada. Quand les citoyens en parlent: L'avenir du fédéralisme en Belgique et au Canada. Quand les citoyens en parlent., Min Reuchamps , P.I.E. Peter Lang, Collection Diversitas, Bruxelles, 2011, 264 pages
Bibliographic record
Abstract
ernment under Stephen Harper has ruled in a top-down manner unprecedented in Canadian politics.It has actively undermined civil society groups, with liberal use of police repression.And, ultimately, it has contributed more than any Canadian government in recent memory to undermining the republican spirit Taylor argues is essential to healthy democracy.Taylor's reflections on the backbone of a healthy democracy were delivered to dissidents organized against an openly terrorist neoliberal regime.But the more polite, subtle violence of Canada's slide from being a beacon of democracy to domestic authoritarianism and international obstructionism makes Taylor's arguments highly topical, and grist for self-reflection.For these reasons I enthusiastically recommend Democracia Republicana / Republican Democracy, not as an occasional text or a curiosity but rather as an integral text in Taylor's corpus and an excellent point of departure for thinking the state of democracy today from within a liberal framework.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.011 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.067 | 0.028 |
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".