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Record W4386457370 · doi:10.1002/9781394236725.ch1

History and Repertoire of Communication Interception Practices

2023· other· en· W4386457370 on OpenAlexaboutno aff
Daniel Ventre, Philippe Guillot

Bibliographic record

Venuenot available
Typeother
Languageen
FieldSocial Sciences
TopicIntelligence, Security, War Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsInterceptionContext (archaeology)Dimension (graph theory)Tactical communicationsGeographyTelecommunicationsPolitical scienceOperations researchComputer securityComputer scienceEngineeringArchaeologyEcology

Abstract

fetched live from OpenAlex

The interception of correspondence has been ongoing for centuries. On the one hand, the emergence of new modes of communication in the 19th century led to a considerable increase in the volume and distribution speed of correspondence, and to changes in the geographical dimension, on the other hand. Communication has always played a strategic role in the war. Intercepting communications, either to gain further information or to interrupt its route, is an act as old as war itself. Drones can act as interception tools or as interception targets, especially in a military context. The Echelon network was established by the United States, the United Kingdom, Canada, Australia and New Zealand to intercept communications from commercial satellites. Intelligence gathered from the interception of communications in all their forms plays a central role in the political and diplomatic life.

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)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.156
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.089
GPT teacher head0.377
Teacher spread0.288 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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Same topicIntelligence, Security, War StrategyFrench-language works237,207