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Record W3200800041 · doi:10.1123/cssep.2021-0017

“All or Nothing”: The Road to the National Hockey League for Five Successful Danish Players Born in 1989

2021· article· en· W3200800041 on OpenAlexaff
Daniel K.S. Bendorff, Anders W. Aggerholm, Simon Hovesen Dalsgaard, Christian Meedom Wrang, Luc J. Martin, Niels Nygaard Rossing

Bibliographic record

VenueCase Studies in Sport and Exercise Psychology · 2021
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsQueen's University
Fundersnot available
KeywordsLeagueClubDanishNothingRelocationPsychologyPolitical sciencePublic relationsMedicine

Abstract

fetched live from OpenAlex

The purpose of this case study was to explore the conditions that contributed to the development of five Danish National Hockey League players born in 1989. Informed by the personal assets framework, we conducted nine semistructured interviews with six players, two parents, and a former head coach. The purpose of these interviews was to explore the conditions that surrounded the athlete’s development and facilitated their ascent to the National Hockey League. Generally, we found that the club coaches identified and targeted the National Hockey League players from an early age, were result oriented in their leadership approach, and provided exclusive training opportunities to identified players. During their specializing years, the players were encouraged to undertake an “all or nothing” approach, whereby they were largely expected to sacrifice opportunities to pursue dual careers. In addition, a relocation to the Swedish hockey gymnasium and club, Frölunda, provided an important developmental stepping-stone for nearly all of them. Furthermore, uncontrollable and fortuitous conditions (e.g., prosperous national sport environment, role models) inspired the players’ ambitions and perceptions of capability. The results of this study are discussed in relation to the literature and practical implications, and we highlight limitations and propose future directions.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score0.811

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.076
GPT teacher head0.419
Teacher spread0.342 · 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 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

Citations1
Published2021
Admission routes1
Has abstractyes

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