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Record W2606102929

Negative parental behaviour in Canadian youth hockey: Elite insiders' perceptions and recommendations

2013· article· en· W2606102929 on OpenAlexaffabout
Corliss Bean, Sarah M Jeffery-Tosoni, Jessica Fraser‐Thomas, Joseph Baker

Bibliographic record

VenueJournal of Exercise, Movement, and Sport · 2013
Typearticle
Languageen
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsYork UniversityUniversity of Ottawa
Fundersnot available
KeywordsPsychologyEliteContext (archaeology)Ice hockeySocial psychologyAggressionPersonalityApplied psychologyPolitical sciencePoliticsMedicine
DOInot available

Abstract

fetched live from OpenAlex

Canadian youth hockey has been under fire recently, with media reports and peer-reviewed research calling attention to parents’ increasingly problematic behaviours including negativity and aggression directed at their children during hockey games (Feschuk, 2011; Friesen, 2012; Robidoux & Bocksnick, 2010). The purpose of this study was to gain understanding of negative parental behaviour in Canadian youth hockey through the perspectives of ten elite hockey insiders (i.e., those with professional, major junior, or university level experience as a player, coach, parent of elite player, official, or national media personality). Specifically, this study attempts to offer understanding not only what is happening, but also understand the mechanisms behind negative and aggressive parental behaviours. Results revealed several concerns with parent behaviour including abuse towards stakeholders, win-at-all costs attitudes, and overstepping boundaries. Participants attempted to shed light on the motives behind such negative behaviour in the minor hockey environment which included: the lure of professional sport, social status within hockey hierarchy, the sizeable investment parents make in youth sport, and living vicariously through their children. Finally, participants proposed specific solutions to address the prevention and management of these issues including suggestions for effective parent education programs, targeted parent curricular content, and the management of reporting and discipline. Findings are discussed within the context of past literature, with a focus on how programs may best foster safe and enjoyable environments for Canadian youth.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.982

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 studies0.0000.000
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 head0.013
GPT teacher head0.273
Teacher spread0.260 · 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 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

Citations0
Published2013
Admission routes2
Has abstractyes

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