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Record W1995861562 · doi:10.3917/gmcc.241.0107

Institution militaire et contre-insurrection : l'ipkf (1987-1990)

2011· article· fr· W1995861562 on OpenAlex
Éric Ouellet, Pierre-Marc Lanteigne

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGuerres mondiales et conflits contemporains · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicPolitical Conflict and Governance
Canadian institutionsCanadian Forces College
Fundersnot available
KeywordsHumanitiesPolitical scienceInstitutionArtLaw

Abstract

fetched live from OpenAlex

Résumé La lutte anti-insurrectionnelle est une forme de guerre difficile à gérer pour les forces armées d’aujourd’hui. Cet article propose un regard en profondeur dans le construit institutionnel militaire pour explorer les raisons possibles de cette difficulté d’adaptation. Le cas d’une armée non occidentale a été retenu pour illustrer que certaines forces institutionnelles agissent en parallèle aux dynamiques culturelles. Le cas des opérations de lutte anti-insurrectionnelle de l’armée indienne au Sri Lanka entre 1987 et 1990 est analysé en utilisant le cadre sociologique d’analyse institutionnelle de Richard Scott. L’article conclut que l’analyse institutionnelle est un outil utile pour comprendre la mésadaptation à la lutte anti-insurrectionnelle, car cette forme de guerre est perçue par l’institution comme minant les fondements de sa légitimité sociale.

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.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.934
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.128
GPT teacher head0.347
Teacher spread0.219 · 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