MétaCan
Menu
Back to cohort
Record W1561953319

The Development of British Counter-Insurgency Intelligence

2009· article· en· W1561953319 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

VenueThe Journal of Conflict Studies · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary History and Strategy
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsVictoryInsurgencyDoctrineCentralityPoliticsPolitical sciencePolitical economySubject (documents)SociologyMilitary intelligenceLawComputer science
DOInot available

Abstract

fetched live from OpenAlex

The centrality of intelligence to counter-insurgency operations and campaigns is now widely acknowledged. But this has not always been the case, even for Great Britain, which is generally regarded as the world leader in counter-insurgency. By examining operational experience, doctrine and training, and professional writing on the subject, this article will show how intelligence emerged as a centerpiece of British counter-insurgency theory and practice in the post-1945 era. It will demonstrate that the British experienced a steep learning curve. Sound theory and practice were no guarantee of success, since victory or defeat was determined largely by local conditions and British political considerations. And some intelligence practices that had been effective in distant conflicts proved problematic when applied in the domestic arena of Northern Ireland. Ultimately, British counter-insurgency theory and practice became “intelligence-driven.”

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)0.003
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 score0.829
Threshold uncertainty score0.648

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 science0.0000.000
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 head0.088
GPT teacher head0.366
Teacher spread0.278 · 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