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Record W1491461079 · doi:10.7202/016150ar

Shifting gender regimes: The complexities of domestic violence among Canada's Inuit

2007· article· en· W1491461079 on OpenAlexvenueaboutno aff
Janet Mancini Billson

Bibliographic record

VenueÉtudes/Inuit/Studies · 2007
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsDomestic violenceContext (archaeology)Human rightsPoliticsGovernment (linguistics)Political scienceGeographyPoison controlSuicide preventionGender studiesSocioeconomicsSociologyMedicineLaw

Abstract

fetched live from OpenAlex

This article brings the voices of Inuit women into the discourse on domestic violence as a core issue in their communities. The views of Inuit women interviewed as part of a case study of Pangnirtung, Nunavut Territory between 1988 and 2002 are accompanied by statistics on patterns of domestic violence. The Canadian Government brought the Inuit from the land to this small Baffin Island hamlet during the 1960s. The sources of domestic violence are framed within the context of female well-being and the impacts of resettlement, rapid social change, and women’s rights as human rights. Traditional patterns of domestic violence, as reported by Inuit women, are compared to contemporary rates. Inuit women across generations explore the precipitating factors and impacts of domestic violence. Insofar as domestic violence results from shifting (and unbalanced) gender regimes, in this case amplified by rapid social change, it may be a transitional phenomenon. As the Inuit develop new cultural forms, and political and economic stability emerge from the creation of Nunavut, domestic violence rates should decline. Because individual well-being contributes to general social well-being and vice versa, women and their communities are likely to experience a lower level of both objective and subjective well-being until domestic violence has been reduced.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.457
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.103
GPT teacher head0.403
Teacher spread0.300 · 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.

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

Citations24
Published2007
Admission routes2
Has abstractyes

Explore more

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