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Record W7070999180

Reinventing First Nations Feminist Thought through Television: Mohawk Girls and Settler Colonialism in Canada

2022· article· en· W7070999180 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of International Crisis and Risk Communication Research · 2022
Typearticle
Languageen
FieldChemistry
TopicMolecular spectroscopy and chirality
Canadian institutionsnot available
Fundersnot available
KeywordsMohawkIndigenousColonialismFeminismScholarshipLegislation
DOInot available

Abstract

fetched live from OpenAlex

In this presentation, I analyze the intersection of gender, Indigenous citizenship, and community formation as expressed in Mohawk filmmaker Tracy Deer’s 2014 sitcom, Mohawk Girls, thereby revealing the show’s Indigenous feminist critique of settler-colonialism and patriarchy. I read Mohawk Girls through the lens of federal Indian policy in order to bring to light that the roots of contemporary societal pressures and legal policing surrounding Mohawk women’s bodies at Kahnawá:ke lay in the settler-colonial objectives of installing patriarchy, dismantling Indigenous governments, and assimilating Indigenous communities. By merging cinematic analysis and a legal history of the Indian Act--the legislation which Mohawk scholar Audra Simpson identifies as having “made” and “unmade” Indians as a legal body in Canada--I reveal the ways in which Mohawk Girls specifically contests the political pressures experienced by Mohawk women as the reproducers of their First Nation. This analysis builds upon Indigenous feminist scholarship that identifies film as a means of confronting gender violence and trauma, highlights contemporary Indigenous women’s cinematic expressions of the 1876 Indian Act’s history and present manifestations, and showcases Indigenous feminist interventions to confront this violent past while forging a decolonized future. This paper is derived from my book manuscript, Reproducing Resistance: Gendered Violence and Indigenous Nationhood, and engages the themes of the 2022 Console-ing Passions Conference by exploring television as a space for reimagining popular depictions of Native women and by investigating media production as a means of reinventing a national dialogue around contemporary Indigenous feminist thought.

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)0.000
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 score0.835
Threshold uncertainty score0.795

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.001
Research integrity0.0000.001
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 head0.033
GPT teacher head0.358
Teacher spread0.325 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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