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Record W2951352699

How much is too much? The culture of competitive youth hockey

2010· article· en· W2951352699 on OpenAlexaff
Kim A Thompson

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsIce hockeyTimelinePsychologySocial psychologySociologyPublic relationsPolitical scienceGeography
DOInot available

Abstract

fetched live from OpenAlex

The evolution of youth sport programs, including hockey, has resulted in the creation of adult-controlled organizations (Fiore, 2003), whereby children and their parents are the product of an entire social system of youth hockey, one that is largely created, organized, and run by adults (Robinson, 1998). The purpose of this paper is to discuss the involvement of parents in creating and sustaining the youth hockey culture and questions at which point, if ever, does competitive youth hockey become too much? The paper presents findings from an in-depth case study of one "Peewee AA" boys' hockey team. Qualitative data were gathered through participant-observation, direct observation, and interviews throughout a full season timeline. Findings showed that youth hockey becomes a "lifestyle", whereby the demands were remarkably comparable to that of a professional endeavour, allotting minimal time for "kids to be kids". Goffman (1961) used the concept of 'total institution' to refer to an isolated, enclosed social system, in which individuals spend their time and have limited physical and social contact with the outside world. The competitive youth hockey environment, commonly dictated by hegemony and hierarchy, implicitly maintained a hold on families. Although parents were cognizant of the consequences such a hectic schedule incurs, including early specialization, sibling sacrifices, physical and emotional fatigue, as well as time away from the family household, they rationalized the abundance of 'hockey time' as "it is what it is". But is this truly in the best interest of young hockey players?Acknowledgments: Dr. Janice Ahola-Sidaway, Thesis Supervisor

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.018
Scholarly communication0.0080.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.281
Teacher spread0.254 · 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 designQualitative
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
Published2010
Admission routes1
Has abstractyes

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