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Record W2281998958 · doi:10.1177/0002764216632843

A Commentary on Sport and Terrorism From the Vantage of Sport Psychology

2016· article· en· W2281998958 on OpenAlexaff
Robert J. Schinke, Kerry R. McGannon, Rebecca Busanich, Yang Ge

Bibliographic record

VenueAmerican Behavioral Scientist · 2016
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsLaurentian University
Fundersnot available
KeywordsTerrorismSport psychologyMainstreamPsychologyRelation (database)Thematic analysisCriminologySocial psychologySociologySocial sciencePolitical scienceLawQualitative research

Abstract

fetched live from OpenAlex

The authors of this article engage in a commentary regarding broad thematic areas identified within the special issue on sport and terrorism. The commentary begins with the authors situating themselves within the field of sport psychology, and as critical scholars more specifically within the emerging cultural sport psychology genre. To further contextualize certain aspects of criticality outlined from a sport psychology vantage, a brief story is offered where one of the authors shares his experience as a volunteer during the 1996 Olympics as a volunteer, where he was first exposed to sport and terrorism. Next, discussions are taken up in relation to four themes that we identified as relevant from the foregoing sport psychology vantage: (a) sport events and terrorism as mainstream, (b) terrorism and the media as conduit, (c) sport as a recruitment tool toward and away from terrorism, and (d) sport as an antidote to terrorism. The commentary authors conclude with a summation followed by parting critical reflections in relation to the current and future status of this emerging area.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.375
Teacher spread0.349 · 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 designObservational
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

Citations2
Published2016
Admission routes1
Has abstractyes

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