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Record W2133039024 · doi:10.1080/13698570903184564

Qualitative analysis of cognitive and contextual determinants of Canadians’ individual response to terrorism

2009· article· en· W2133039024 on OpenAlexafffundabout
Jennifer E. C. Lee, Christine Dallaire, Louise Lemyre

Bibliographic record

VenueHealth Risk & Society · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsUniversity of Ottawa
FundersSocial Sciences and Humanities Research Council of CanadaHealth Canada
KeywordsTerrorismPreparednessContext (archaeology)PsychologyCognitionSocial psychologyQualitative researchEvent (particle physics)Political scienceSociologyGeographySocial science

Abstract

fetched live from OpenAlex

The objective of the present study was to explore different aspects of individual response to terrorism in Canada and develop a descriptive model of the processes involved. A qualitative analysis was performed on transcripts of individual and group interviews held across Canada (N = 73) wherein concerns and decisions surrounding terrorism were discussed. This analysis revealed 16 emerging concepts, which were organised into six overarching themes (Threat, Uncertainty, Control, Context Issues, Psychological Response, and Behavioural Response). Psychological and behavioural responses appeared to be related, in that they shared a number of cognitive determinants. Results also pointed to the involvement of contextual factors such as timing relative to an event, type of terrorism scenario, and opinions regarding the regulation of terrorism. Behavioural responses to terrorism were discussed less frequently than psychological responses. These primarily entailed actions aimed at avoiding terrorist events, although more positive responses such as individual preparedness were also mentioned. Implications of findings for research on individual preparedness for terrorism are discussed.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.327
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.056
GPT teacher head0.450
Teacher spread0.394 · 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.

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

Citations21
Published2009
Admission routes3
Has abstractyes

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