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Terrorism

2018· reference-entry· en· W4237749647 on OpenAlexaff
Jane Boulden

Bibliographic record

VenueOxford University Press eBooks · 2018
Typereference-entry
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsTerrorismParallelsPolitical scienceSecurity councilState (computer science)PhenomenonLawCriminologyComputer securitySociologyEngineeringComputer scienceEpistemologyPoliticsOperations management

Abstract

fetched live from OpenAlex

Abstract Terrorism is a tool of non-state actors and as such poses a particular threat to the United Nations as a state-based organization. This chapter examines the responses of the General Assembly, Security Council, and Secretary-General to terrorism. While the Security Council has taken the lead, all three actors have made an effort to develop a sustained response to the phenomenon. Recent developments on the ground have prompted questions about the potential threat of terrorism to peace operations, as well as an emphasis on prevention. While the UN response is significant, it parallels rather than leads actions by its member states.

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 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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.261
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 integrity0.0010.001
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 head0.029
GPT teacher head0.262
Teacher spread0.232 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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Same venueOxford University Press eBooksSame topicGlobal Peace and Security DynamicsFrench-language works237,207