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Record W2159072030 · doi:10.1525/maq.2002.16.3.341

Narrative Mediation of Conventional and New "Mental Health" Paradigms: Reading the Stories of Immigrant Iranian Women

2002· article· en· W2159072030 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueMedical Anthropology Quarterly · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicRacial and Ethnic Identity Research
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsReading (process)ViewpointsSubject (documents)NarrativeMental healthImmigrationStorytellingSociologyMediationGender studiesPoliticsPsychologySocial psychologySocial sciencePolitical scienceLiteratureLawVisual arts

Abstract

fetched live from OpenAlex

The potential of storytelling to effect change and produce new knowledge is being recognized across disciplines. Two conditions are necessary to realize these goals: first, reading of stories must be contextualized to include larger social and political landscapes; and second, how stories are read and toward what end must be closely examined. This article explores these issues with reference to the subject of the "mental health" or emotional well-being of a cohort of postrevolution Iranian women from metropolitan Vancouver, British Columbia. Reading their stories at a particular moment in time shows that well-being is essentially grounded in spaces and places where we live, work, and engage in social interactions. This commonplace knowledge, which is subdued in medical discourse, is retrieved through Iranian women's stories of life and living told at a time when their experiences, histories, and viewpoints on health are subject to erasure.

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.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score0.998

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 studies0.0010.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.038
GPT teacher head0.373
Teacher spread0.335 · 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