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Record W3093646636 · doi:10.1123/jsm.2020-0016

An Analysis of Training-Related Outcomes Within Canadian National Sport Organizations

2020· article· en· W3093646636 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Sport Management · 2020
Typearticle
Languageen
FieldPsychology
TopicHuman Resource Development and Performance Evaluation
Canadian institutionsBrock UniversityUniversity of Windsor
Fundersnot available
KeywordsTraining (meteorology)Context (archaeology)PsychologyInterpretation (philosophy)Public relationsResource (disambiguation)Applied psychologyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Past research has demonstrated that human resource training often results in improved individual and organizational performances. Yet, the focus has been on whether or not training has an impact on performance, rather than the nature of that impact. The purpose of this study is to investigate the nature of training-related outcomes in the context of one training program within the Canadian national sport sector. Interviews were conducted with key representatives from 12 Canadian national sport organizations. Findings showed the manifestations of performance change that occur as a result of training, revealing a new way of thinking at the individual level, a new way of doing within group and organizational processes, and a new way of being across organizations. Three theoretical perspectives—interpretation, learning, and institutional—are used to frame the discussion of the findings. Implications for practice and future research are presented.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.037
GPT teacher head0.320
Teacher spread0.282 · 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