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Record W1159067834

South African Coaching Framework: Scoping report

2010· article· en· W1159067834 on OpenAlexaboutno aff
Patrick Duffy

Bibliographic record

VenueLeeds Beckett Repository (Leeds Beckett University) · 2010
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsCoachingCommissionCompetence (human resources)Political scienceWork (physics)European commissionPublic relationsManagementEngineeringBusinessLawEuropean union
DOInot available

Abstract

fetched live from OpenAlex

Recognising the central role of sports coaching in the delivery of an active and winning nation, SRSA and SASCOC have agreed to the establishment of a Coaches Commission. This Commission, operating within SASCOC, has been charged with the responsibility ‘to investigate a coaching system for South African Sport’ and to include the evaluation of other systems across the world. As part of this work, the Commission has the support of the Technical and Administrative staff of SASCOC. The Commission has also examined issues relating to coach education through a Task Team involving representatives from the University of Johannesburg and Stellenbosch University. Delegates from SASCOC; SRSA and the Coaches Commission attended the global conference of the International Council for Coach Education (ICCE) in Vancouver in November 2009. The event outlined recent developments in the European Framework for the Recognition of Coaching Competence and Qualifications and the proposed development of a global framework as part of the draft strategy of ICCE. At the Vancouver conference, discussions occurred with the Professor Patrick Duffy on the issues associated with the development of a South African Coaching Framework. These discussions continued following the conference and a scoping visit was initiated with the support of UK Sport as part of its London 2012 International Inspiration Programme.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.800
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.004
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 head0.057
GPT teacher head0.376
Teacher spread0.319 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations1
Published2010
Admission routes1
Has abstractyes

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