MétaCan
Menu
Back to cohort
Record W7022185518

[no title]

2021· other· fr· W7022185518 on OpenAlexaboutno aff

Bibliographic record

VenueDirectory of Open access Books (OAPEN Foundation) · 2021
Typeother
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsOrder (exchange)Context (archaeology)Forge
DOInot available

Abstract

fetched live from OpenAlex

Au cours des dernières décennies, les Canadiens ont connu bien des variantes du fédéralisme, allant de la concertation sous Lester B. Pearson à l'asymétrie administrative sous le tandem Pelletier-Charest, en passant par le fédéralisme rentable chez Robert Bourassa et le fédéralisme dominateur chez Pierre Elliot Trudeau. S'agit-il de tendances qui viennent inspirer les nouvelles générations d'électeurs ? Ou s'agit-il de modes appelées à se remplacer les unes les autres au gré de la conjoncture politique et des rapports de force ? Au moment où certains pays en crise sur la scène internationale (l'Irak, le Sri Lanka, la Russie) en sont venus à favoriser le fédéralisme, comment se fait-il qu'au Canada l'enthousiasme des Québécois soit si faible pour ce modèle de gouvernement ? Ce livre propose une lecture plurielle et actualisée des enjeux politiques qui sous-tendent les rapports entre le Québec et le Canada. Quatre grands thèmes y sont étudiés : les fondements du fédéralisme et ses traditions, les métamorphoses du fédéralisme, les relations fédérales-provinciales et intergouvernementales, et enfin les politiques propres à la gestion de la diversité. Chacune des études jette un éclairage novateur sur un ensemble de questions centrales, dont celles du déséquilibre fiscal, des réformes démocratiques, des rapports entre minorités et majorités et du déficit fédératif au Canada.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.746
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0050.006
Meta-epidemiology (broad)0.0090.002
Bibliometrics0.0040.005
Science and technology studies0.0020.005
Scholarly communication0.0350.026
Open science0.0410.033
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.7550.036

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.

Opus teacher head0.135
GPT teacher head0.441
Teacher spread0.306 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueDirectory of Open access Books (OAPEN Foundation)French-language works237,207