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Record W2794886220 · doi:10.1123/jcsp.2016-0040

An Examination of Hazing in Canadian Intercollegiate Sports

2018· article· en· W2794886220 on OpenAlexaffabout
Jay Johnson, Michelle Guerrero, Margery Holman, Jessica W. Chin, Mary Anne Signer-Kroeker

Bibliographic record

VenueJournal of Clinical Sport Psychology · 2018
Typearticle
Languageen
FieldPsychology
TopicDeath Anxiety and Social Exclusion
Canadian institutionsUniversity of WindsorUniversity of Manitoba
Fundersnot available
KeywordsAthletesPsychologyClubPsychological interventionIntervention (counseling)PerceptionSocial psychologyPhysical therapyMedicinePsychiatry

Abstract

fetched live from OpenAlex

The overall purpose of the present study was to examine hazing among university athletes in Canada. More specifically, athletes’ experiences with hazing behaviors, knowledge regarding hazing, perceptions of the nature of hazing, attitudes toward hazing, and exposure to hazing policy and prevention/intervention strategies were investigated. A total of 434 U Sports (formerly known as Canadian Interuniversity Sport) athletes from various varsity-level and club-level sports participated in the study. Results showed that 58% of athletes experienced at least one hazing behavior. Some athletes reported that coaches were not only aware of hazing behaviors, but also present while hazing behaviors occurred. Athletes who experienced hazing perceived more positive outcomes of hazing than negative, and did not report hazing incidents because they believed experiencing hazing was part of being a member of the team. A small percentage of athletes had participated in hazing prevention workshops. Implications of these findings pertain to education on hazing, hazing prevention strategies and interventions.

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)0.006
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 score0.252
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.063
GPT teacher head0.483
Teacher spread0.421 · 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

Citations17
Published2018
Admission routes2
Has abstractyes

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