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Perceived Racism, Discrimination, and Acculturation in Suicidal Ideation and Suicide Attempts among Black Young Adults

2011· article· en· W1848896912 on OpenAlexaff
Kathryn Castle, Kenneth R. Conner, Kimberly Kaukeinen, Xin Tu

Bibliographic record

VenueSuicide and Life-Threatening Behavior · 2011
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsKimberly-Clark (Canada)
FundersCenters for Disease Control and Prevention
KeywordsAcculturationSuicidal ideationRacismPsychologyLogistic regressionSuicide preventionClinical psychologyDemographyPopulationPoison controlYoung adultInjury preventionAssociation (psychology)Multivariate analysisHuman factors and ergonomicsGerontologyMedicineEthnic groupDevelopmental psychologyMedical emergency

Abstract

fetched live from OpenAlex

During young adulthood the suicide rate among Blacks rises dramatically and approaches that of the U.S. general population, requiring that prevention efforts include a focus on Black young adults. Although most research on suicidality among Blacks has focused on risk factors observed in the dominant culture, in this study the authors examined associations between perceived discrimination, racism, and acculturation with lifetime suicidal ideation (SI) and suicide attempt (SA) among Black young adults. Two hundred fifty Black or African American individuals aged 18-24 residing in a midsize northeastern city were recruited to participate through advertisements. Participants filled out self-report questionnaires. Logistic regressions were used to examine the association of each predictor with SI and SA. Greater perceived acculturation was associated with SI in univariate and multivariate models. There were no other statistically significant results concerning the predictors of interest. The link between perceived acculturation and SI is consistent with limited available data, indicating the need for further study including the potential mechanism(s) for the association. Limitations include the cross-sectional design and reliance on subjective measures.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.060
GPT teacher head0.316
Teacher spread0.257 · 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

Citations78
Published2011
Admission routes1
Has abstractyes

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