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Record W2399641551 · doi:10.1017/cbo9781107298002

Comparative Counter-Terrorism Law

2015· book· en· W2399641551 on OpenAlex

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

VenueCambridge University Press eBooks · 2015
Typebook
Languageen
FieldSocial Sciences
TopicEuropean Criminal Justice and Data Protection
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTerrorismLawPolitical scienceGlobeComparative lawSecrecyInternational lawCriminal law

Abstract

fetched live from OpenAlex

Terrorism law is as international as it is regionally distinct and as difficult to define as it is essential to address. Given recent pressures to harmonize terrorism laws from international organizations like the United Nations Security Council, the Financial Action Task Force, and the Council of Europe, this book presents readers with an up-to-date assessment of terrorism law across the globe. Covering twenty-two jurisdictions across six continents, the common framework used for each chapter facilitates national comparisons of a range of laws including relevant criminal, administrative, financial, secrecy, and military laws. Recognizing that similar laws may yield different outcomes when transplanted into new contexts, priority of place is given to examples of real-world application. Including a thematic introduction and conclusion, this book will help to establish comparative counter-terrorism law as an emerging discipline crossing the boundaries of domestic and international law.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.556
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.089
GPT teacher head0.290
Teacher spread0.201 · 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