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Record W4211071355 · doi:10.26522/jess.v3i.3719

Risk and Uncertainty in Youth Sport

2022· article· en· W4211071355 on OpenAlexvenueno aff
Douglas Hochstetler

Bibliographic record

VenueJournal of Emerging Sport Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDoping in Sports
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipAthletesPositive Youth DevelopmentPsychologyFace (sociological concept)Social psychologyPublic relationsSociologyPolitical scienceDevelopmental psychologySocial scienceLaw

Abstract

fetched live from OpenAlex

An increasing number of children playing sports face pressure (both parental and societal) to specialize at an early age, to focus exclusively on one sport with the hope of securing a college scholarship. So-called “travel teams,” once the domain of tweens and teens, now extends to the very youngest children, with athletes (and parents) traveling exceedingly long distances, and spending large sums of money, virtually year-round.Through the course of this paper, I glean from both American philosophical themes, and current literature related to social change, to help at least partially answer this question regarding youth sport specialization. I contend that these conceptual ideas help provide language for us to think more clearly about some of the issues surrounding youth sport specialization.To begin, the potential downsides of youth sport specialization are patently clear. Focusing on one particular sport at a young age presents latent hazards. At an appropriate point, however, this specialization holds the potential for exploring the notion of commitment in extremis. After engaging in multiple sport options during elementary school years, the adolescent soccer player, for example, may decide to pursue the “beautiful game” to see what potential it may bring.My aim is to examine sport participation, specifically during the process where youth become committed to a particular sport. In this way, I move from issues of early exploration with youth sport to issues related to commitment and immersion. My contention is that youth sport participants who choose to focus on a particular sport, to make it their own, and make this decision (largely) on their own – act in a way which is consistent with the language of American philosopher, William James. James is fitting here, as Ilundain-Agurruza (2015) explains, because his works are “suited for a holistic conception of enactive performance . . . [and include a focus on] asceticism and risk, and those regarding cognition and action” (p. 259).

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)0.010
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0060.019
Scholarly communication0.0090.005
Open science0.0010.008
Research integrity0.0030.004
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 head0.040
GPT teacher head0.347
Teacher spread0.307 · 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 designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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