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“Playing Like a Girl”

2017· book· en· W2725288490 on OpenAlexaff
Hayley Russell, Julia Dutove, Lori Dithurbide

Bibliographic record

VenueOxford University Press eBooks · 2017
Typebook
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCompetition (biology)Perspective (graphical)Context (archaeology)PsychologyHistory of sportGirlAthletesGender studiesDevelopmental psychologySociologyMedicineGeographyPhysical therapyEcology

Abstract

fetched live from OpenAlex

This chapter reviews the theoretical and research evidence on women in competition in the context of sport. First, it explores the history of women in competitive sport and physical activity, and then reviews the relevant theories of competition in sport and sex- and gender-based differences in sport. Next, the chapter examines women’s experiences in sport from a developmental perspective and reviews women’s competition in youth sport, high-performance sport, and nontraditional physical activities. This chapter also examines how women learn about competition, what gender/sex differences do or do not exist in dispositional competitiveness, the behavioral outcomes of competitiveness, and the overall consequences—both positive and negative—of competition in sport on women and girls. The chapter concludes by discussing the current research gaps and future directions in the study of women in competition in the context of sport.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.048
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0480.019

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 head0.118
GPT teacher head0.389
Teacher spread0.271 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2017
Admission routes1
Has abstractyes

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