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Record W2914617754 · doi:10.1080/17430437.2019.1567495

Running from responsibility: athletic governing bodies, corporate sponsors, and the failure to support pregnant and postpartum elite female distance runners

2019· article· en· W2914617754 on OpenAlexaff
Francine Darroch, Audrey R. Giles, Heather Hillsburg, Roisin McGettigan-Dumas

Bibliographic record

VenueSport in Society · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsLakehead UniversityUniversity of OttawaCarleton University
Fundersnot available
KeywordsEliteThematic analysisGender studiesQualitative researchEssentialismFeminismFace (sociological concept)SociologyPolitical sciencePublic relationsPoliticsLawSocial science

Abstract

fetched live from OpenAlex

This feminist qualitative research draws on data from 14 semi-structured interviews with pregnant or parenting elite female distance runners. Using three theoretical approaches (liberal feminism, radical feminist thought, and strategic essentialism) alongside of thematic analysis, we identified the following themes about elite female distance runners: women do not feel supported by corporate sponsors or athletic governing bodies during pregnancy or postpartum; due to the lack of support, the women plan/strategize pregnancies around competitions, contracts, and spousal support; due to all of the above, the women face stress and uncertainty in their careers that their male counterparts do not. The participants argue that athletic governing bodies and corporate sponsors must be more transparent in their practices and improve policies to create more equitable sporting environments.

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)0.008
metaresearch head score (Gemma)0.014
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.010
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.267
Teacher spread0.246 · 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
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

Citations54
Published2019
Admission routes1
Has abstractyes

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