Managing More than Poverty When Living With Addiction: Parents’ Emotion and Identity Work
Bibliographic record
Abstract
In this article, I qualitatively explore the emotion and identity work of parents living with addiction to drugs or alcohol and accessing social assistance, specifically Ontario Works, in Toronto, Canada. Through narrative and discourse analysis of in-depth interviews, I show how parents (re-) produce or (re-) negotiate their identities as mothers and fathers in relation to feeling rules constituted in three broader, cultural discourses about family relations, addiction, and poverty: welfare dependency; intensive mothering; and families as a safe haven. I argue that this emotion and identity work is necessitated by how these feeling rules collude or clash with parents master status of addict entrenched in their relationships with social assistance policy and caseworkers and perceived by others too. I conclude with a consideration of the social policy and justice implications of my findings, including the need to overturn the stigmatization of addiction and poverty.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".