Neuropsychological study of northern Native male solvent abusers / by Cameron Dokis.
Bibliographic record
Abstract
Solvent abuse constitutes a major health concern in all ethnic groups because of its serious social, medical, and neuropsychological consequences. The present study examined the neuropsychological consequences of long-term solvent use on young Aboriginal males in Northwestern Ontario. It was hypothesized that solvent abusers would score below controls in a variety of neuropsychological measures, with the largest deficits in working memory. The researcher recruited 10 solvent abusers, aged from 18-25. As a comparison control group, this study unsuccessfully attempted to recruit 20 age-and-ethnically matched Aboriginal males without a history of solvent use. The literature suggests that this effect may have been due to the application of a culturally insensitive research methodology with this particular population (Smith, 1999; Steinhauer, 2002). Due to lack of control data, experimental data were compared to normative data drawn from the literature. \nThe study examined the areas of working memory, attention span, fine motor skills and executive functioning capabilities of solvent users. Covariates were measures of cognitive function, anxiety and depression. \nCovariates were not significantly correlated with test measures. Solvent abusers (N = 10) did not differ significantly from control data in measures of working memory, attention span, fine motor skills, or executive functioning capabilities. TONI-3 data correlated with sub-measures in the Connors Continuous Performance Test indicating a relationship with cognitive processing speed. Experimental TONI IQ did not differ significantly from Moland?s (2004) solvent abuse group TONI IQ, indicating a relationship between IQ and solvent use, however, the directionality or structure of this \nrelationship is unknown.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".