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Record W1968914867 · doi:10.7202/1015736ar

Engendering Nationality: Haudenosaunee Tradition, Sport, and the Lines of Gender1

2013· article· en· W1968914867 on OpenAlexvenueno aff
Allan Downey

Bibliographic record

VenueJournal of the Canadian Historical Association · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsChampionshipCompetition (biology)Element (criminal law)Gender studiesNationalityIdentity (music)Political sciencePoliticsSovereigntySociologyLawImmigration

Abstract

fetched live from OpenAlex

The Native game of lacrosse has undergone a considerable amount of change since it was appropriated from Aboriginal peoples beginning in the 1840s. Through this reformulation, non-Native Canadians attempted to establish a national identity through the sport and barred Aboriginal athletes from championship competitions. And yet, lacrosse remained a significant element of Aboriginal culture, spirituality, and the Native originators continued to play the game beyond the non-Native championship classifications. Despite their absence from championship play the Aboriginal roots of lacrosse were zealously celebrated as a form of North American antiquity by non-Aboriginals and through this persistence Natives developed their own identity as players of the sport. Ousted from international competition for more than a century, this article examines the formation of the Iroquois Nationals (lacrosse team representing the Haudenosaunee Confederacy in international competition) between 1983-1990 and their struggle to re-enter international competition as a sovereign nation. It will demonstrate how the Iroquois Nationals were a symbolic element of a larger resurgence of Haudenosaunee “traditionalism” and how the team was a catalyst for unmasking intercommunity conflicts between that traditionalism—engrained within the Haudenosaunee’s “traditional” Longhouse religion, culture, and gender constructions— and new political adaptations.

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)0.002
metaresearch head score (Gemma)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.432
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.024
GPT teacher head0.232
Teacher spread0.208 · 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

Citations10
Published2013
Admission routes1
Has abstractyes

Explore more

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