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Record W1599550679

Reflections on a Quarter-Century of Research in Sports Medicine Psychology

2014· article· en· W1599550679 on OpenAlexaboutno aff
Diane M. Wiese‐Bjornstal

Bibliographic record

VenueDipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona) · 2014
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsSport psychologySports medicineApplied psychologyField (mathematics)Quarter (Canadian coin)PsychologyProfessional psychologyTable (database)Engineering ethicsSocial scienceSociologyEngineeringComputer scienceClinical psychologyHistoryPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

The three purposes of this paper are to provide reflections on (a) defining a new field of sports medicine psychology, (b) our research examining the genesis and testing of the integrated model of psychological response to the sport injury and rehabilitation process (Wiese-Bjornstal and Smith, 1993), and, (c) future directions for evaluating the model and advancing the field of sports medicine psychology. Illustrations visually summarize components of sports medicine psychology and show the integrated model, while a summary table highlights key findings from over 25 years of research about the integrated model components. Historical perspectives, philosophical dilemmas, conceptual frameworks, research findings, and professional issues interweave in addressing reflections in these three areas.

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)0.031
metaresearch head score (Gemma)0.046
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.031
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.046
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0110.074
Scholarly communication0.0190.023
Open science0.0030.010
Research integrity0.0120.030
Insufficient payload (model declined to judge)0.0080.001

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 head0.034
GPT teacher head0.422
Teacher spread0.387 · 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
GenreCommentary

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

Citations12
Published2014
Admission routes1
Has abstractyes

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