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Record W4386224904 · doi:10.1080/02684527.2023.2246235

The FAN TAN file: Quebec separatism and security service resistance to politicization 1971–72

2023· article· en· W4386224904 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIntelligence & National Security · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPrime ministerCommissionUnited States National Security AgencyPolitical sciencePoliticsGovernment (linguistics)LawPublic administrationAgency (philosophy)Principal (computer security)National securityService (business)Principle of legalitySociologyComputer securityEconomicsEconomy

Abstract

fetched live from OpenAlex

This article examines an interval during 1970–1971 during which the Canadian Federal government established a clandestine body codenamed FAN TAN within the Prime Minister’s Office to conduct surveillance of, and ‘political action’ against, the Quebec separatist movement. This organization, led by Principal Secretary to the Prime Minister Marc Lalonde, sought to persuade the Security Service of the Royal Canadian Mounted Police to provide intelligence in support of what was a party political entity based in the Prime Minister’s Office and not in the actual national security machinery of the Privy Council Office. We examine how John Starnes, Director General of the Security Service, went to considerable lengths to resist this effort to politicize his agency, and to warn the government of the potential scandal should FAN TAN become publicly known. We conclude that the FAN TAN affair leaves a number of serious questions to be answered such as: who actually originated the scheme, its legality as well as propriety, what intelligence was used or continued to be collected after the RCMP sought to end its involvement, and why the matter was ignored by the subsequent McDonald Commission that prompted the dissolution of the Security Service.Footnote1

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.684
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.021
GPT teacher head0.309
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