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Discourses of Stress, Social Inequities, and the Everyday Worlds of First Nations Women in a Remote Northern Canadian Community

2008· article· en· W1983822727 on OpenAlexaffabout
Naomi Adelson

Bibliographic record

VenueEthos · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsYork University
Fundersnot available
KeywordsSociologyGender studiesEveryday lifeStress (linguistics)Political scienceLinguisticsLaw

Abstract

fetched live from OpenAlex

Abstract Allan Young's classic thesis on stress discourse underscores the way in which the biomedical discourse of “stress” reflects and legitimizes existing social inequities even as it removes the language of stress to the decontextualized domain of the clinic. In this article, I address the way in which the “stress discourse” of a group of young adult Cree women who live in a remote northern Canadian village reflects and reinscribes the social, cultural, and historical conditions of inequity as part and parcel of community life. This study, as a reflection on Young's thesis, reveals that sometimes one is bound to replicate inequities because it is necessary to do so. The women with whom I spoke are entangled in an historical and social reality that they are wholly aware of such that the paths of inequity that are expressed in a rationale of “stress” cannot readily be challenged or changed. [stress discourse, women, First Nations, Canada, social inequity]

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)0.005
metaresearch head score (Gemma)0.006
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 score0.120
Threshold uncertainty score0.867

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0620.043
Scholarly communication0.0120.003
Open science0.0030.008
Research integrity0.0030.004
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 head0.024
GPT teacher head0.303
Teacher spread0.279 · 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

Citations14
Published2008
Admission routes2
Has abstractyes

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