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Record W2891675486 · doi:10.1515/9782760624962

Penser L’International

2007· book· ru· W2891675486 on OpenAlexaboutno aff
François Crépeau, Jean‐Philippe Thérien

Bibliographic record

VenueLes Presses de l'Université de Montréal eBooks · 2007
Typebook
Languageru
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Les universites s’ouvrent au monde, au Quebec comme ailleurs. Ce phenomene est visible dans tous les aspects de la vie universitaire et, de facon plus fondamentale, dans la recherche. En effet, que l’on pense a la mondialisation de l’economie, a l’effet de serre, aux crises humanitaires, aux migrations, a l’expansion des organisations non gouvernementales, au fondamentalisme religieux ou au terrorisme, les evenements internationaux nous interpellent dans toutes les spheres du savoir. Desormais, les thematiques internationales sont abordees dans la plupart des disciplines en sciences sociales, et l’on assiste a un reel rapprochement multidisciplinaire. Le present ouvrage est le fruit d’une reflexion visant a ouvrir un dialogue qui permette de comprendre comment differents domaines de specialisation abordent l’international sur les plans conceptuel et theorique, et de mieux saisir les enjeux qui ont marque les etudes internationales au cours des dernieres annees. Sous la direction de Francois Crepeau et Jean-Philippe Therien, respectivement directeur scientifique et directeur scientifique adjoint du CERIUM, ce livre presente les contributions de Francois Crepeau, Michel Fortmann, Jean-Francois Gareau, Mamoudou Gazibo et Jane Jenson, Alexis Nouss, Samir Saul, Jean-Philippe Therien, Jean-Guy Vaillancourt et Marie-Joelle Zahar.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.141
Threshold uncertainty score0.473

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0070.008
Scholarly communication0.0200.010
Open science0.0020.009
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.1410.034

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 head0.013
GPT teacher head0.227
Teacher spread0.214 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2007
Admission routes1
Has abstractyes

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