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Record W7132941273

"Young Women Growing Graciously": Considering Sport, Gender and Development in Diasporic Space

2011· dissertation· en· W7132941273 on OpenAlexaboutno aff
Melanie Belore

Bibliographic record

VenueTSpace · 2011
Typedissertation
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsSomaliNegotiationSpace (punctuation)Gender relationsRepresentation (politics)DiasporaFocus group
DOInot available

Abstract

fetched live from OpenAlex

This thesis aims to expand our understanding of the relationship between gender, sport and development. Specifically, it asks 1) how a sport, gender and development program is conceptualized and deployed by members of a young Somali-Canadian women’s group in Toronto, Canada and 2) if female participation in sport is thought to contribute to new gender norms, roles and relationships within such a diaspora community. Working within a postcolonial/transnational feminist framework, the thesis utilizes focus group interviews and engages with issues of power, representation and knowledge production. The findings shed light on the influences that have both informed and constrained this particular community initiative, as well as the possibilities and limitations of using sport to negotiate new gender norms, roles and relationships within the Somali diaspora. In conclusion, several recommendations are made to researchers and practitioners invested in the burgeoning field of international sport for development.

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)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score0.463

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.007
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.043
GPT teacher head0.319
Teacher spread0.276 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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