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Record W2477990621 · doi:10.1177/0022002716660586

Transnational Terrorism

2016· article· en· W2477990621 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

VenueJournal of Conflict Resolution · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsExternalitySpillover effectTerrorismEconomicsPolitical economyMicroeconomicsInternational tradeEconomic systemPolitical scienceLaw

Abstract

fetched live from OpenAlex

We investigate how externalities and cooperation affect nations’ efforts to counter transnational terrorism activities. Our model captures three factors whose interplay determines counterterrorism (CT) efforts and terrorist activity: the size of the spillover effect, the degree of internalization of the externality, and whether nations’ CT efforts have an asymmetric or symmetric effect on the security of other nations. In our symmetric model, preemptive CT efforts and terrorist activities decrease with the size of the externality regardless of the degree of cooperation between nations. In our asymmetric model, as the externality of the “smaller” nation increases, the “larger” nations reduce their efforts, and the smaller nation reacts by increasing its own efforts. We also investigate coalition stability and show that (a) in the preemptive case, the full coalition is not stable and partial coalitions are stable for sufficiently small externalities; and (b) in the defensive, symmetric case, only the full coalition is stable.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.937
Threshold uncertainty score0.429

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.033
GPT teacher head0.330
Teacher spread0.297 · 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