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Record W2928855294

Adult Learning Principles in Master's Sport: A Coach's Perspective

2019· article· en· W2928855294 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal for the Study of Adult Education · 2019
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAndragogyCoachingAdult educationAthletesAdult LearningPsychologyAutonomyPerspective (graphical)PedagogyLimitingMedical educationApplied psychologyMedicineEngineeringPhysical therapy
DOInot available

Abstract

fetched live from OpenAlex

Adult athletes, or Masters athletes (MAs), feel that sport coaches should use different approaches when working with them than with youth (Callary et al., 2015; 2017). This case study aimed to understand how each of six adult learning principles from Knowles et al.’s (2012) Andragogy in Practice Model were evidenced in a 30-year-old, female, canoe/kayak coach’s descriptions of her approaches. Data were collected via three semi-structured coach interviews (90-120 minutes), with supplemental field notes for her training sessions with MAs and youth, with the latter cohort used for comparative purposes. Results showed the coach’s approaches with MAs were largely andragogical, especially in her responsiveness to adults’ inquisitiveness and provision of self-directed opportunities. She more closely followed traditional pedagogy with youth, directing information delivery, limiting autonomy, and catering to more extrinsic motives. Findings suggest the model may be flexibly applied to coaching adult sport, and its principles adapted to fit individual needs.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.333
Teacher spread0.305 · 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