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Being Strong: How Black West‐Indian Canadian Women Manage Depression and Its Stigma

2000· article· en· W1995663754 on OpenAlexaffabout
Rita Schreiber, Phyllis Noerager Stern, Charmaine Wilson

Bibliographic record

VenueJournal of Nursing Scholarship · 2000
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsGrounded theoryStigma (botany)Vulnerability (computing)Depression (economics)PsychologyGender studiesSocial psychologyPsychiatryQualitative researchSociologySocial science

Abstract

fetched live from OpenAlex

PURPOSE: To discover how women from a nondominant cultural background (West Indian) experience and manage depression. DESIGN: Explanatory using grounded theory. METHODS: Semistructured interviews were conducted with 12 Black West-Indian Canadian women who experienced depression. Between 1994 and 1996, the first author engaged in participant observation. FINDINGS: The women used the basic social process they called "being strong" to manage or ameliorate depression. Being strong included "dwelling on it," "diverting myself," and "regaining my composure." For most of the women, the range of available life choices was limited to the three processes; however, a few engaged in "trying new approaches." These women were less limited in their range of cultural and behavioral boundaries than were the others, and began tentatively to explore other options for themselves. CONCLUSIONS: Black West-Indian Canadian women in this study managed their depression in culturally defined ways by being strong and not showing vulnerability. Because being strong was also evident in a previous study of dominant-culture women as a prelude to depression, the process may be widespread in women prone to depression. The findings provide helpful information for intervening in an unfamiliar culture.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.823
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 communication0.0000.001
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 head0.045
GPT teacher head0.362
Teacher spread0.316 · 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 designObservational
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

Citations65
Published2000
Admission routes2
Has abstractyes

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