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Record W2068055286 · doi:10.2202/1547-7355.1756

From the McDonald Report to the Kelly Committees: The Government Research and Policy Making Process Connected to Oppositional Political Terrorism in Canada

2011· article· en· W2068055286 on OpenAlexaboutno aff
Jeffrey Ian Ross

Bibliographic record

VenueJournal of Homeland Security and Emergency Management · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsnot available
Fundersnot available
KeywordsTerrorismPoliticsGovernment (linguistics)Political sciencePublic administrationProcess (computing)CriminologySociologyLawComputer science

Abstract

fetched live from OpenAlex

This article presents an analysis of the Canadian government's research and policy-making processes in connection with oppositional political terrorism during the time between the McDonald Report (1977) to the Third Kelly Committee (1999). In particular, the article examines this subject by reviewing popular, scholarly, and governmental literature; relying on personal experiences; and, most importantly, focusing on information gathered during a series of interviews with key informants conducted over a 14-year period. The article concludes with a list of factors that impeded government research and policy development connected with this subject and policy area and a handful of suggestions for overcoming these difficulties which may improve the Canadian government’s ability to effectively deal with future acts of terrorism.

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)0.011
metaresearch head score (Gemma)0.025
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.716
Threshold uncertainty score0.831

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.025
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0400.011
Scholarly communication0.0130.002
Open science0.0020.005
Research integrity0.0020.004
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 head0.051
GPT teacher head0.362
Teacher spread0.311 · 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

Citations1
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Homeland Security and Emergency ManagementSame topicTerrorism, Counterterrorism, and Political ViolenceFrench-language works237,207