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History of Sport, Exercise, and Performance Psychology in Southern Africa

2016· reference-entry· en· W2600274206 on OpenAlexaff
Clinton Gahwiler, L. B. Hill, Valérie Grand’Maison

Bibliographic record

VenueOxford Research Encyclopedia of Psychology · 2016
Typereference-entry
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsMcGill University
Fundersnot available
KeywordsDisadvantagedSport psychologyTRIPS architectureGovernment (linguistics)Value (mathematics)International psychologyMulticulturalismPolitical scienceEconomic growthDevelopment economicsPsychologySociologySocial scienceSocial psychologyEngineeringCritical psychologyAsian psychologyEconomicsLaw

Abstract

fetched live from OpenAlex

Abstract Since the 1970s, significant growth globally has occurred in the related fields of sport, exercise, and performance psychology. In Southern Africa, however, this growth has occurred unevenly and, other than isolated pockets of interest, there has been little teaching, research, or practice. South Africa is an exception, however, even during the years of apartheid. A number of international sport psychology pioneers in fact visited South Africa during the 1970s on sponsored trips. Virtually all this activity took place in the economically advantaged sectors of the country, and it is only since the end of apartheid in 1994 that applied services have been extended to the economically disadvantaged areas through both government and private funding. The 2010s have also seen a growing awareness in other Southern African countries, which have begun sporadically using (mainly foreign-based) sport psychology consultants. Among these countries, Botswana is currently leading the way in developing locally based expertise. Throughout the Southern African region, sport, exercise, and performance psychology remain organizationally underdeveloped and unregulated. Local researchers and practitioners in the field face unique challenges, including a multicultural environment and a lack of resources. In working to overcome these challenges, however, they have the potential to significantly add value to the global knowledge base of sport, exercise, and performance psychology.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.553
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0030.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0100.000

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 head0.076
GPT teacher head0.380
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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2016
Admission routes1
Has abstractyes

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