Intersectional Stigma and Perinatal Substance Use Services: Recognizing the Power of the Good Mother Ideal (Abstract Only) - Alternative, Oral, Poster, And Symposia Abstracts For QHR, 2019 (Vancouver, Canada)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
People with addiction disorders who receive medication-assisted treatment (MAT) face stigmatization for both their addiction and their treatment method. Many people, even healthcare providers, view MAT as replacing one drug with another, and long-term use of these prescribed substances is often viewed as a moral failing. For pregnant women on MAT, the stigma and shame increase exponentially. This study examines the intersectional stigma attached to perinatal substance use generally and maternal opioid use specifically. Using data from a 6- year grounded theory study on perinatal substance use service provision, the article describes the ways that service providers both perceive and enact stigmas of addiction and harm reduction when good mothering ideals are violated. Study sources included observational and interview data from providers across healthcare and social services as well as publically available documents that detailed responses to perinatal substance use.Situational analyses, conducted to develop the grounded theory model, identified intersectional stigma as a critical contextual construct. Additional analyses, conducted for the findings reported here, included a reimmersion into a subset of the data to identify and deconstruct stigma processes. Examples of social stigma, in the form of interactional discrimination, and of self-stigma are presented to argue for the importance of making visible the role of good mothering ideals in stigma associated with maternal opioid use. Functions and processes of intersectional stigma within the context of service provision are examined to illuminate the complexities of the effect of stigma on patient–provider interactions and the implementation of best practices.
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.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 it