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Record W2918973584 · doi:10.4000/books.pum.6627

21. Les opérations internationales de paix : vers une « police sans frontières » ?

2010· book-chapter· fr· W2918973584 on OpenAlexaboutno aff
Samuel Tanner

Bibliographic record

VenuePresses de l’Université de Montréal eBooks · 2010
Typebook-chapter
Languagefr
FieldBusiness, Management and Accounting
TopicLegal Systems and Institutions
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Depuis la fin de la guerre froide, la fréquence et la variété des missions extérieures des services de police a fortement augmenté. Elles se caractérisent par la mise en place de réseaux de liaisons policiers internationaux, d’échanges de personnel, de programmes d’assistance technique ou encore de formation de policiers à l’étranger. Ces missions posent de réels défis, tant en matière de pratiques policières que pour la réflexion sur l’objet « police ». Ce chapitre se concentre sur la participation des polices canadiennes à des opérations internationales de paix sous l’égide des Nations unies, et spécifiquement sur le défi que constitue l’extension d’un éthos policier développé dans un contexte domestique, à l’espace « hors les frontières » de la consolidation de la paix dans des environnements post-conflit.

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)0.001
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.190
Threshold uncertainty score0.377

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0050.009
Scholarly communication0.0090.005
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0120.002

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 head0.010
GPT teacher head0.178
Teacher spread0.168 · 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
GenreEmpirical

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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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