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Record W2063085242 · doi:10.1177/0959353506067849

Constructing a Non-depressed Self: Women’s Accounts of Recovery from Depression

2006· article· en· W2063085242 on OpenAlex
Michelle N. Lafrance, Janet M. Stoppard

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.

Bibliographic record

VenueFeminism & Psychology · 2006
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversity of New BrunswickSt. Thomas University
Fundersnot available
KeywordsFemininityNarrativeDepression (economics)PsychologyFace (sociological concept)Work (physics)Social psychologyGender studiesSociologyPsychoanalysisArt

Abstract

fetched live from OpenAlex

This study involved a discourse analytic investigation of 15 women’s accounts of their experiences of recovery from depression. Participants’ descriptions of depression revolved around their lives as women, consumed by domestic practices and governed by the needs of others. In contrast, recovery was constructed within a narrative of personal transformation in which participants relinquished their good woman practices and attended to their own needs. However, participants appeared to face a discursive double bind whereby letting go of domestic and caring work and beginning to care for themselves were both central to their wellness and threatening to their identities as women. The analysis explores the ways in which participants negotiated and resisted dominant discourses of femininity in their accounts of recovery from depression.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.079
GPT teacher head0.411
Teacher spread0.333 · 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