Complicating the dominant morality discourse: mothers and fathers’ constructions of substance use during pregnancy and early parenthood
Bibliographic record
Abstract
INTRODUCTION: Consumption of substances is a highly controversial behaviour, with those who do so commonly viewed as deviants, even criminals, or else as out of control addicts. In other work we showed that the use of substances by women who are pregnant or have recently become parents was mainly viewed by health and social care providers as morally wrong. Problematic substance use was framed through the narrow lens of gendered responsibilisation, resulting in women being seen primarily as foetal incubators and primary caregivers of infants. METHODS: In this follow-up paper we examine descriptive and qualitative data from a convenience sample of biological mothers and fathers (N = 34) recruited as part of a larger mixed methods study of the development and early implementation of an integrated primary maternity care program. We present a description of the participants' backgrounds, family circumstances, health status, and perception of drug-related stigma. This is succeeded by a thematic analysis of their personal views on substance use during both pregnancy and the transition to parenthood. RESULTS: Our results show that while many mothers and fathers hold abstinence as the ideal during pregnancy and early parenting, they simultaneously recognize the autonomy of women to judge substance use risk for themselves. Participants also call attention to social structural factors that increase/decrease harms associated with such substance use, and present an embodied knowledge of substance use based on their tacit knowledge of wellness and what causes harm. CONCLUSIONS: While these two main discourses brought forward by parents concerning the ideal of abstinence and the autonomy of women are not always reconcilable and are partially a reflection of the dissonance between dominant moral codes regarding motherhood and the lived experiences of people who use substances, service providers who are attuned to these competing discourses are likely to be more effective in their delivery of health and social services for vulnerable families. More holistic and nuanced perspectives of health, substance use, and parenting may generate ethical decision-making practice frameworks that guide providers in meeting and supporting the efforts of mothers and fathers to achieve well-being within their own definitions of problematic substance use.
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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 | 0.013 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.017 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".