MétaCan
Menu
Back to cohort
Record W4386002296 · doi:10.26522/jess.v9i.4398

Rage at the Rink

2023· article· en· W4386002296 on OpenAlex
Daniel Sailofsky, Curtis Fogel

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Emerging Sport Studies · 2023
Typearticle
Languageen
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsBrock University
Fundersnot available
KeywordsMinor (academic)Ice hockeyPsychologyAggressionLeagueCoachingHarassmentSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

This article examines the problem of parental aggression in minor hockey in the Canadian province of Quebec. Findings of the study are based on 30 semi-structured, qualitative interviews with minor hockey stakeholders in Quebec, including parents, coaches, referees and league executives. Interviews were conducted in both French and English. All 30 study participants observed parental violence and harassment while watching, coaching, and/or refereeing minor hockey and shared their perspectives on why parental aggression occurs in Quebec minor hockey. Drawing on Spaaij’s (2014) social-ecological model, we introduce a social-ecological model specific to the Canadian minor hockey context, which includes structural, social environmental, situational, interpersonal and individual. Moving from the structural to the individual, these factors include 1) levels of racism, xenophobia, and identity-based antagonisms in society, 2) high parental expectations related to their children’s performance, team success, and development, the high cost of hockey, hockey’s cultural significance as Canada’s game, and the lack of leverage leagues and arenas to punish spectator misbehaviour, 3) the layout of arenas and the rules around alcohol at particular arenas, perceived ‘bad’ refereeing, illegal play, or unfair ice time allotments, higher levels of on-ice violence and injuries, and rivalries, 4) spectators trying to coach from the stands and/or yelling at referees and coaches, and 5) the behaviour and demeanour of spectators, coaches, referees, and even the players on the ice.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.027
Threshold uncertainty score0.193

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.047
GPT teacher head0.390
Teacher spread0.343 · 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