The cross-cultural generalizability of the Psychopathy Checklist: Youth Version for adjudicated indigenous youth.
Bibliographic record
Abstract
There is a paucity of Indigenous-specific research examining the reliability and validity of assessment tools routinely utilized within the justice system. Evaluating the cross-cultural reliability and validity of such tools is important for establishing generalizability as part of ethical practices; this is particularly important to address within Canada's Indigenous youth population because of longstanding effects of colonization, structural adversities, and overrepresentation in the youth justice system and the possible long-term impact of improper assessment on adult outcomes. A step toward this aim was undertaken in the current study by comparing scale reliability, structural validity, measurement invariance, and predictive validity of the Psychopathy Checklist: Youth Version (PCL:YV) across Indigenous (n = 137) and White (n = 312) adjudicated youth. Polychoric ordinal alpha values indicated that PCL:YV test score scale reliability was high for both Indigenous and White youth. Confirmatory factor analyses demonstrated that a 3-factor and 4-factor model provided acceptable-to-good fit for the full sample, and an examination of configural, metric, and scalar measurement invariance illustrated that both factor structures fit the subsamples equally well. PCL:YV test scores were also moderately associated with measures of different offending outcomes and performed similarly across White and Indigenous participants. Overall, support was found for the use of the PCL:YV within Indigenous youth, including its use in conjunction with other risk factors and assessment tools to guide risk assessment decisions for this group. The importance of cross-cultural research and directions for future research are discussed. (PsycINFO Database Record
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".