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Record W3173961067 · doi:10.1123/iscj.2020-0006

Assessing the Value Created in a Social Learning Space Intervention: Four Vignettes of Parasport Coaches

2021· article· en· W3173961067 on OpenAlex
Tiago Duarte, Diane M. Culver, Kyle Paquette

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInternational Sport Coaching Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsUniversity of Ottawa
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsValue (mathematics)Social learningPsychological interventionIntervention (counseling)PsychologySpace (punctuation)Social learning theoryCurlingApplied psychologyPedagogySocial psychologyComputer scienceEngineering

Abstract

fetched live from OpenAlex

In this paper, the authors reflect on the current literature and the evolution of coach communities of practice and how the coach development area has embraced Wenger-Trayner’s social learning theory. Studies examining parasport coach development interventions, specifically those using a landscape of practice approach, are lacking. This paper is the third in a series about increasing learning capability in the wheelchair curling landscape. The authors utilized a collaborative approach to assess the learning value created through a 13-month social learning intervention. Four composite vignettes based on the coaches’ pathways and residency within the landscape were created from the data generated and analyzed using the value creation framework. The vignettes illustrate the many dimensions of learning values experienced by the coaches. This paper advances the literature surrounding social learning theory by providing examples of the novel concept of different dimensions of learning value. Applied implications are included.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.014
Threshold uncertainty score0.635

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 integrity0.0000.001
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 head0.072
GPT teacher head0.429
Teacher spread0.357 · 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