How do women manage the spoiled identity of a ‘pregnant smoker’? An analysis of discursive silencing in women's accounts
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
Drawing on public and private accounts of smoking during pregnancy (interviews, survey responses, and a public media article), we examine how women discursively manage the ‘spoiled’ identity associated with inhabiting the body of a ‘pregnant smoker’. We focus on two salient identities ‘the silenced smoker’ and ‘the bad mother’ and explore the discursive and material consequences of these identities. We found that references to smoker and maternal identities were largely absent in women's accounts, and discuss how these absences enabled women to evade stigma and the rhetorical harm of these identities. Further, we discuss the material consequences of stigma including women's need to conceal their ‘pregnant smoker’ body in the face of heightened surveillance. We propose ‘discursive silencing’ to explain how dominant motherhood and anti-smoking discourses serve to render women's experiences as ‘untellable’ and therefore reduce women's capacity to seek help or support to quit smoking.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 it