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Record W2047025843 · doi:10.1080/14927713.2008.9651419

Beyond “add women and stir”: Politics, feminist development, and dene games

2008· article· en· W2047025843 on OpenAlexaffvenue
Audrey R. Giles

Bibliographic record

VenueLeisure/Loisir · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPoliticsSociologyEthnologyPolitical scienceArt

Abstract

fetched live from OpenAlex

Abstract The recent addition of a Junior Girls’ category to the Dene Games component of the Arctic Winter Games raises important questions about the ways in which popular physical practices are developed. In this paper, I examine efforts aimed at the “development” of physical practices and attempts at gender equity in Dene games in the Northwest Territories (NWT) and at the Arctic Winter Games. In so doing, I highlight the links between these popular physical practices in the NWT, politics, Western feminisms, and cultural self‐determination, while also suggesting possible future directions for women's involvement in Dene games. Résumé L'addition récente d'une catégorie des filles juniors aux Jeux Dene des Jeux d'Hiver Arctique pose des questions importantes au sujet des façons desquelles les pratiques physiques populaires sont développées dans un contexte féminin. Dans cet article, j'examine les efforts visant le développement des pratiques et des tentatives d'éthiques physiques dans les Jeux Dene et les Jeux d'Hiver Arctique. Ceci fait, j ‘ accentue les liens entre ces pratiques physiques populaires dans les Territoires du Nord‐Ouest (TNO) la politique, le féminisme occidental, et l'autodétermination culturel, tout en suggérant de futures directions possible pour la participation des femmes aux Jeux Dene. Keywords: developmentfeminismgender equityphysical practicesDene gamesMots‐clés: Développementféminismecapitaux propres de genrepratiques physiquesjeux Dene

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.029
GPT teacher head0.278
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 designNot applicable
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

Citations12
Published2008
Admission routes2
Has abstractyes

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