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Record W2736645640 · doi:10.22215/sjcs.v5i1.296

"Lemeh Check See If Meh Mask on Straight": Examining How Black Women of Caribbean Descent in Canada Manage Depression and Construct Womanhood Through Being Strong

2013· article· en· W2736645640 on OpenAlexaffabout
Fatimah Z. Jackson, Karen Naidoo

Bibliographic record

VenueSouthern Journal of Canadian Studies · 2013
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsCentennial CollegeUniversity of Toronto
Fundersnot available
KeywordsConstruct (python library)African descentRacismMulticulturalismContext (archaeology)Gender studiesMental healthImmigrationSociologyBlack womenEthnic groupPsychologyPolitical scienceGeographyEthnologyPsychiatryAnthropology

Abstract

fetched live from OpenAlex

Black experiences in Canada are diverse and made more complex by specific issues brought on by gender and even health. This paper seeks to examine how Black Caribbean descent women in Canada manage depression and construct womanhood through the discourse of "Being Strong." "Being Strong" (Schreiber et al., 2000) assumes that strength is naturally inherited and embedded within the cultural context of Black Caribbean descent women in Canada. The cultural construction of strength may also be derived from the historical role of Black women established during slavery and colonization (hooks 1984; Hill-­‐Collins 2000). We argue that "Being Strong" may also be women's reactions to systemic and institutionalized injustices such as racism, immigration processes, and discrimination that are oftentimes overlooked in multicultural nations such as Canada. This paper examines how some Black Caribbean descent women in Canada enact and accept "Being Strong" through the maintenance of unwavering strength; and it also explores the dangers of adopting and accepting such roles. It also seeks to explore linkages between racism and mental health. Utilizing qualitative research data, this paper will give voice to a largely marginalized group, while also exploring the possibilities for more inclusive mental health services that will adequately address the needs of this group.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.551
Threshold uncertainty score0.890

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.055
GPT teacher head0.305
Teacher spread0.250 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations9
Published2013
Admission routes2
Has abstractyes

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