Nonsuicidal self‐injury across cultures and ethnic and racial minorities: A review
Bibliographic record
Abstract
The field of nonsuicidal self-injury (NSSI) is dominated by research conducted with Caucasian-majority samples in Western countries such as United States, Canada, Australia and European countries. This article critically reviewed the empirical research on NSSI in non-Western countries and among ethnic/racial minority individuals who live in the West to give voice to and understand the patterns of NSSI among individuals who do not fall within the dominant Caucasian majority. The study found both similarities and differences between Western and non-Western data in terms of characteristics and functions of NSSI. Differences in gender patterns in regards to prevalence of NSSI and methods used as well as presence of a more relational functionality of NSSI rather than emotion regulation functionality were two points of divergence in the findings of these studies. In addition, the findings seem to indicate that the role of ethnicity/race is mediated by important factors such as socioeconomic status (SES) and gender. Existing gaps in the literature and suggestions for further research are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".