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Record W2063059457 · doi:10.4000/conflits.1608

Participation des militaires à la sécurité intérieure : Royaume-Uni, Irlande du Nord

2004· article· fr· W2063059457 on OpenAlexaff
Didier Bigo, Emmanuel-Pierre Guittet, Andy Smith

Bibliographic record

VenueCultures & conflits/Cultures et conflits · 2004
Typearticle
Languagefr
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Cet article retrace l’histoire de l’intervention militaire britannique en Irlande puis en Irlande du Nord et vise à souligner les évolutions de l’approche générale adoptée par les militaires dans ce(s) territoire(s). L’armée, obéissant au pouvoir politique de Londres, s’en tient au discours officiel d’une aide aux pouvoirs civils mais développe en parallèle une doctrine d’emploi des forces qui s’apparente à la lutte antisubversive et à l’expérience de la décolonisation. En retraçant la manière dont les forces de l’ordre ont participé pleinement à faire évoluer des lois spéciales introduites au nom de la “lutte anti-terroriste”, cet article apporte un éclairage sur les interactions qui existent entre ces lois spéciales et dérogatoires, leurs interprétations et les pratiques des forces de sécurité en poste en Irlande du Nord.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.229
Threshold uncertainty score0.455

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.006
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.032
GPT teacher head0.345
Teacher spread0.312 · 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 designQualitative
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".

Quick stats

Citations2
Published2004
Admission routes1
Has abstractyes

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