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Record W6983674582

The Next War: Indications Intelligence in the Early Cold War

2025· article· en· W6983674582 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIntelligence, Security, War Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsCold warPeriod (music)Government (linguistics)World War II
DOInot available

Abstract

fetched live from OpenAlex

The threat of nuclear conflict loomed menacingly over the world during the Cold War. Early warning of an attack was a crucial focus for military and political intelligence. Intelligence networks in Canada, the United States, and the United Kingdom came together, forming a tripartite intelligence relationship dedicated to indications that the Cold War would turn hot. The Next War is the first full account of the development of the allied indications network. Timothy Andrews Sayle dives deeply into recently declassified documents to explore this previously hidden history. He traces the decisions and choices made by intelligence organizations in Canada, the United States, and the United Kingdom to coordinate their assessments despite different, sometimes conflicting, national agendas, ideological positions, and levels of trust. From early appreciations of the possibility of war with the Soviet Union to a formal agreement and communications network designed to link the intelligence establishments of Ottawa, London, and Washington, the tripartite intelligence relationship of the allied indications network established the basis for the close cooperation that continues to this day. The Next War widens our understanding of Cold War intelligence history through exemplary scholarship and extensive foraging within the documentary record. With its descriptions of the evolution of national indications intelligence structures and the diplomacy and debates between allied capitals this book explains Canada’s prominent role alongside its intelligence partners.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.840
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0030.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.072
GPT teacher head0.389
Teacher spread0.317 · 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
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

Citations0
Published2025
Admission routes1
Has abstractyes

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