Pathways linking drug use and labour market trajectories: the role of catastrophic events
Bibliographic record
Abstract
People affected by substance use disorders often experience sub-optimal employment outcomes. The role of drug use in processes that produce and entrench labour market precarity among people who inject drugs (PWID) have not, however, been fully described. We recruited 22 PWID from ongoing prospective cohort studies in Vancouver, Canada, with whom we conducted semi-structured retrospective interviews and then employed a thematic analysis that drew on concepts from life course theory to explore the mechanisms and pathways linking drug use and labour market trajectories. The participants' narratives identified processes corresponding to causation, whereby suboptimal employment outcomes led to harmful drug use; direct selection, where impairment, health complications or drug-seeking activities selected individuals out of employment; and indirect selection, where external factors, such as catastrophic events, marked the initiation or intensification of substance use concurrent with sudden changes in capacities for employment. Catastrophic events linking negative transitions in both drug use and labour market trajectories were of primary importance, demarcating critical initiation and transitional events in individual risk trajectories. These results challenge conventional assumptions about the primacy of drug use in determining employment outcomes among PWID and suggest the importance of multidimensional support to mitigate the initiation, accumulation and entrenchment of labour market and drug-related disadvantage.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".