Using General Strain Theory to Understand Drug and Alcohol Use in Canada: An Examination of how Strain, its Conditioning Variables and Gender are Interrelated
Why this work is in the frame
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Bibliographic record
Abstract
This thesis uses the Canadian Drugs and Alcohol survey conducted in 1994 by Statistics Canada to explore how Agnew’s (1992, 2001, 2006) general strain theory can help to understand drug and alcohol use in Canada. Agnew argues that experiences of strain, which include an array of negative life events, produce a negative emotional response which creates pressure for corrective action. In postulating why certain individuals are more likely to react to strain with deviant behaviour, Agnew (1992, 2001, 2006) emphasizes the importance of variables that condition the effects of strain on deviance. It is argued that people are less likely to respond to strain with deviant coping strategies depending upon their levels of social control, constraint, social support and deviant peers and values (Agnew 1992; Broidy and Agnew 1997; Agnew 2006). Results are very supportive of GST as measures of objective and subjective strains as well measures of the conditioning variables are consistently associated with drug and alcohol use in hypothesized directions; strain measures also tended to interact with conditioning variables in associations with substance use. Hypotheses surrounding
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it