Bibliographic record
Abstract
In this article, I examine the ways in which risk is constructed and managed by those involved in the pregnancy and childbirth of women who use drugs, including the women themselves. I discuss how constructions of risk influence maternal care outcomes and the understanding of choice, often in the form of stigmatisation. In this article, I draw on data from a qualitative research study that I conducted in 2011 in a western Canada city in which I interviewed 13 pregnant and parenting women who had used drugs during their pregnancy. In this article, I show how the everyday risk construction of pregnancy, labour and delivery is compounded significantly by drug use and the stigmatisation associated with this perceived risk-taking behaviour. The participants in the study often internalised this understanding of risk and this manifested itself in delays in accessing maternal health and social care services. The women in the study had different understandings of risk and these were structured by the women’s own understanding of general risk factors during their pregnancy, as well as their experiences of the constructions of risk and risk management by health and social care professionals. While structural life chances can constrain women’s feelings of self-efficacy, services that promote clients’ ability to make choices can facilitate reduced stigmatisation and facilitate the development of more compassionate and autonomous approaches to risk management.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".