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Record W2105281917 · doi:10.1123/tsp.22.1.54

Youth Ice Hockey Coaches’ Perceptions of a Team-Building Intervention Program

2008· article· en· W2105281917 on OpenAlexafffund
Julie Newin, Gordon A. Bloom, Todd M. Loughead

Bibliographic record

VenueThe Sport Psychologist · 2008
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of WindsorMcGill University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyIntervention (counseling)Ice hockeyAthletesCoachingPerceptionApplied psychologyTeam buildingMedical educationSport psychologyVariety (cybernetics)Physical therapyEngineeringMedicinePhysical medicine and rehabilitationComputer science

Abstract

fetched live from OpenAlex

The purpose of the current study was to explain youth ice hockey coaches’ perceptions of the effectiveness of a team-building intervention program. Eight Peewee-level hockey coaches implemented the same team-building activities with their teams throughout the regular season. Data were gathered using 3 methods. Specifically, coaches answered questions on a pre- and post-intervention form after each team-building activity, coaches’ behaviors were observed by members of the research team, and each coach completed a semistructured exit interview after the completion of the regular season. Results highlighted the benefits of the team-building intervention program. Specifically, coaches felt athletes enjoyed this experience and improved or acquired a variety of important life skills and abilities. Coaches also felt that athletes bonded during activities and improved their abilities to work together as a group. Finally, coaches felt that their own personal communication skills improved.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.062
GPT teacher head0.379
Teacher spread0.317 · 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 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

Citations52
Published2008
Admission routes2
Has abstractyes

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