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Record W2418748985 · doi:10.1177/0887403416650250

Mental Health Screening in Juvenile Justice Settings: Evaluating the Utility of the Massachusetts Youth Screening Instrument, Version 2

2016· article· en· W2418748985 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCriminal Justice Policy Review · 2016
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsBrock University
Fundersnot available
KeywordsEconomic JusticeJuvenileMental healthJuvenile delinquencyPsychologyPsychiatryMedicineApplied psychologyClinical psychologyPolitical science

Abstract

fetched live from OpenAlex

Allocating limited mental health resources is a challenge for juvenile justice facilities. We evaluated the clinical utility of the Massachusetts Youth Screening Instrument, Version 2 (MAYSI-2)—an instrument designed to aid in this process—in three subsamples of justice-involved youth (ages 14-17): detained girls ( n = 69), detained boys ( n = 130), and incarcerated boys ( n = 373). For perspective, we compared its performance (in the incarcerated subsample) to that of the Youth Self-Report (YSR), a more widely-used screen. The MAYSI-2 subscales were moderately useful for detecting relevant diagnoses, and differences were observed across samples. However, as a general mental health screen, the MAYSI-2 performed well (and comparably to the YSR), correctly classifying 66% to 75% of youth. When used to differentiate youth with any and without any disorder, both instruments were effective. Given the MAYSI-2’s practical advantages over the YSR (lower cost, easier administration), it may be a better option for juvenile facilities.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.916
Threshold uncertainty score0.517

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.131
GPT teacher head0.403
Teacher spread0.272 · 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