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Record W2153857846 · doi:10.1123/jsm.14.1.41

Is Self-Employment Liberating or Marginalizing? The Case of Women Consultants in the Fitness and Sport Industry

2000· article· en· W2153857846 on OpenAlexaff
Laurene Rehman, Wendy Frisby

Bibliographic record

VenueJournal of Sport Management · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsUniversity of British ColumbiaMemorial University of Newfoundland
Fundersnot available
KeywordsAutonomyFlexibility (engineering)Perspective (graphical)Context (archaeology)Work (physics)Gender studiesSociologySocial psychologyPsychologyPolitical scienceManagementEconomicsEngineeringLaw

Abstract

fetched live from OpenAlex

Women are responsible for large growth rates in self-employment in many industrialized countries, yet little is known about how they interpret or experience the work they do. In the literature, two competing images of self-employment for women have emerged. With the liberation perspective, self-employment is associated with self-fulfillment, autonomy and control, substantial financial rewards, and increased flexibility in balancing work and family demands. In contrast, the marginality perspective portrays self-employment as a low paying, unstable form of home-based work that combines incompatible work and domestic roles while marginalizing women's work in the economy. The purpose of this study was to examine the work experiences of women consultants in the fitness and sport industry based on the liberation and marginality perspectives of self-employment. Observations of home-based work sites, interviews, and validation focus groups were conducted with 13 women who were currently working or had previously worked as fitness and sport consultants. The results revealed that social context, stages of business development, the personal situations of the women, gender relations and body image issues, and the nature of the work itself influenced whether the women described their experiences as liberating or marginalizing.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score0.845

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.060
GPT teacher head0.310
Teacher spread0.249 · 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.

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

Citations18
Published2000
Admission routes1
Has abstractyes

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