‘I don’t know what we should have done differently’: A qualitative study on the dilemmas of ‘tough love’ and toxic drugs in British Columbia, Canada
Bibliographic record
Abstract
Background In British Columbia, Canada, a public health emergency of unregulated drug deaths presents a fraught backdrop for concerned significant others (CSOs).Method Community-based Participatory Action Research design. We conducted 22 semi-structured qualitative interviews with CSOs about their perceptions and experiences during the toxic drug crisis. We examined how ‘tough love’ constructs informed their relationships with and responses to their loved ones.Results Understandings of tough love were widely varied and intertwined with decisions around supporting loved ones at risk of overdose. These decisions involved three main mediating factors: (1) perceived potential outcomes around the loci of various harms; (2) beliefs, attitudes and values around love and compassion, the nature of drug use, and personal agency; (3) available personal assets or social capital. Participants often displayed significant levels of uncertainty and regret that was mitigated by the psychosocial concept of ‘boundaries’ in contrast to codependency-derived dichotomies of tough love and enabling.Conclusion Decisions around levels of support or engagement involve complex negotiations within a highly pressurized context of a toxic supply of illicit drugs. Inconsistently understood normative language influences confounding relational negotiations for CSOs, who require theoretical frameworks that help them negotiate decisions within their own limits and values, both moral or pragmatic.
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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 | 0.000 | 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 | 0.000 |
| 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".