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Record W1572186377

Intelligence and International Security: New Perspectives and Agendas

2010· book· en· W1572186377 on OpenAlexaboutno aff
Leonard Victor Scott, R. Gerald Hughes, Martin S. Alexander

Bibliographic record

VenueTaylor & Francis eBooks · 2010
Typebook
Languageen
FieldSocial Sciences
TopicIntelligence, Security, War Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsForeign policyHuman rightsIslamPolitical scienceLawReligious studiesTheologyPhilosophyPolitics
DOInot available

Abstract

fetched live from OpenAlex

1. Introduction: Journeys in Twilight Len Scott, R. Gerald Hughes and Martin S. Alexander 2. The Future of Intelligence: Seeking Perfection in an Imperfect World? Len Scott and R. Gerald Hughes 3. Global Intelligence Co-operation versus Accountability: New Facets to an Old Problem Richard J. Aldrich 4. 'The Internationalismof Islam': The British Perception of a Muslim Menace, 1840-1951 John Ferris 5. Security Intelligence and Human Rights: Illuminating the 'Heart of Darkness'? Peter Gill 6. Rise, Fall and Regeneration: From CIA to EU Rhodri Jeffreys-Jones 7. Intelligence Cooperation Meets International Studies Theory: Explaining Canadian Operations in Castro's Cuba Don Munton 8. From Saigon to Baghdad: The Vietnam Syndrome, the Iraq War and American Foreign Policy Andrew Priest

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.006
Science and technology studies0.0050.013
Scholarly communication0.0170.021
Open science0.0010.006
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.0270.004

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 head0.311
Teacher spread0.279 · 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 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

Citations8
Published2010
Admission routes1
Has abstractyes

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