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Record W1987045880 · doi:10.1080/02684520008432616

Fighting for relevance: Economic intelligence and special operations executive in Spain, 1943–1945

2000· article· en· W1987045880 on OpenAlexaff
David A. Messenger

Bibliographic record

VenueIntelligence & National Security · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicIntelligence, Security, War Strategy
Canadian institutionsWilfrid Laurier UniversityUniversity of Toronto
Fundersnot available
KeywordsMandateGermanRelevance (law)NeutralityPolitical scienceWorld War IIDissentLawPoliticsPolitical economyPublic administrationSociologyHistory

Abstract

fetched live from OpenAlex

This article examines the work of the Special Operations Executive (SOE) in Spain during the latter part of the Second World War. Unlike SOE's broad mandate to sow dissent and disarray in occupied countries, in Spain agents were forbidden from any involvement in direct action and sabotage. Diplomatic concerns, namely the maintenance of Spanish neutrality in the war, overrode all other strategic issues in Iberia. SOE agents and leaders in Madrid, therefore, attempted to create a different role for themselves. Drawing on files released in the Public Record Office in 1998, the article highlights SOE's limited success in the effort to establish for itself a part in the Allied strategic and diplomatic campaign against German wolfram smuggling. Success proved fleeting, however, and SOE's ultimate failure, in the face of hostility from the Secret Intelligence Service (SIS), to prove its usefulness beyond the wolfram campaign, would lead to its withdrawal from Spain. The story of the SOE in Spain represents, on a small scale, the failure of the organization to find a niche in the British intelligence community after the Second World War.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.149

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0040.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.034
GPT teacher head0.339
Teacher spread0.305 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations3
Published2000
Admission routes1
Has abstractyes

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