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Record W4252671183 · doi:10.4324/9781315799261-5

Measurement, Statistics, and Research Design Issues in Sport and Exercise Psychology

2014· book-chapter· en· W4252671183 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.

Bibliographic record

VenuePsychology Press eBooks · 2014
Typebook-chapter
Languageen
FieldMedicine
TopicDiverse Approaches in Healthcare and Education Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSport psychologyApplied psychologyPsychologyStatisticsData scienceComputer scienceMathematics

Abstract

fetched live from OpenAlex

A major purpose of the 8th Measurement and Evaluation Symposium, Exploring the Kaleidoscope was to explore measurement, research design, and statistics issues in selected subdisciplines of exercise and sport science. Attitudes, perceptions, and treatment of persons with a disability over the last 150 years have been guided by several ideologies. This chapter explains the overview of changes in perceptions, attitudes, and treatment of persons labeled mentally handicapped. The late 1950s and early 1960s raised awareness about the treatment mentally handicapped persons were receiving in institutions. A shocked public became aware of behaviors like head banging, crying, biting, vomiting, assaulting, screeching, rocking, and sleeping observed in overcrowded institutions. A movement toward deinstitutionalisation and normalization began, and the services-based model gained momentum. The chapter concludes that the suggest measurement, research design, and statistics problems that need to be addressed in order to ultimately study self-empowerment and self-regulation.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.553
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.456
GPT teacher head0.487
Teacher spread0.031 · 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