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Record W1984990890 · doi:10.4000/champpenal.8326

Terrorism and counter-terrorism: a choice between two evils

2012· article· fr· W1984990890 on OpenAlexaffabout
Stéphane Leman‐Langlois

Bibliographic record

VenueChamp pénal · 2012
Typearticle
Languagefr
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical scienceTerrorismEthnologyPhilosophySociologyLaw

Abstract

fetched live from OpenAlex

Les recherches de Jean-Paul Brodeur sur le terrorisme ont porté sur deux aspects de la question, également importants et indissociables. Le premier est celui du fonctionnement, des objectifs et des méthodes des groupes qu’on nomme « terroristes », tout en considérant les résultats réels obtenus. Le second est celui de la régulation, de l’organisation, du financement et des conséquences des stratégies, organismes et programmes mis sur pied ou modifiés afin de leur faire face. Plus d’une décennie après le 11 septembre 2001, il semble bien que les plus graves dangers auxquels font face les Canadiens, comme la plupart des Occidentaux, proviennent du second aspect.

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)0.014
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.002
Science and technology studies0.0030.046
Scholarly communication0.0170.017
Open science0.0010.007
Research integrity0.0080.009
Insufficient payload (model declined to judge)0.0110.001

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 head0.059
GPT teacher head0.368
Teacher spread0.309 · 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 designTheoretical or conceptual
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
Published2012
Admission routes2
Has abstractyes

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