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Record W2071907425 · doi:10.1080/1612197x.2010.9671938

Are perceived comparative risks realistic among high‐risk sports participants?

2010· article· en· W2071907425 on OpenAlexaff
Cécile Martha, Jason Laurendeau

Bibliographic record

VenueInternational Journal of Sport and Exercise Psychology · 2010
Typearticle
Languageen
FieldPsychology
TopicAdventure Sports and Sensation Seeking
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsPsychologyRisk perceptionVulnerability (computing)Social psychologyApplied psychologyPerceptionComputer security

Abstract

fetched live from OpenAlex

This paper examined how risk sports practitioners, compared with those of the average sports participant, perceive their abilities to manage risks (AMR) and their vulnerability to a serious injury (VSI) whilst participating. We also examined which variables influence perceived comparative VSI. High‐risk and moderate‐risk sports participants (n = 432) completed measures of perceived personal AMR, perceived comparative AMR and VSI, and motive of playing to the limit. Results showed that high‐risk sports practitioners perceived their VSI as being higher than the average sports participant, while moderate‐risk practitioners perceived their VSI as being lower. Perceived comparative VSI was negatively related to perceived personal AMR and positively related to past injury episode, sporting experience, and playing to the limit. In conclusion, perceived comparative risks were similarly realistic amongst high‐risk sports practitioners. Future research is needed to further examine the role that perceived comparative risks play in the risk‐taking decision‐making process

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)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.060
GPT teacher head0.392
Teacher spread0.331 · 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 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

Citations14
Published2010
Admission routes1
Has abstractyes

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Same venueInternational Journal of Sport and Exercise PsychologySame topicAdventure Sports and Sensation SeekingFrench-language works237,207