Bibliographic record
Abstract
Among women who give birth, roughly half describe their birth experiences as traumatic. Childbirth trauma is a topic of growing global interest for health and mental health professions. However, social work remains peripheral in this emerging area of scholarship and practice. This article presents a portion of findings from recent feminist narrative social work research exploring women’s narratives of their experiences of emotional distress in childbirth to illustrate the need for increased professional engagement with this important social issue. Analysis of participants’ narratives illustrates how Foucault’s discourse and power/knowledge can be useful in understanding the subtle social forces that shape birth experiences which may result in emotional distress. In this article, I argue the topic of childbirth distress falls within the reproductive rights framework and should be of importance to social workers. The findings presented below are discussed in the context of the International Federation of Social Workers’ ethical principles and its policy statement on women to support this position.
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 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 | 0.049 | 0.064 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.024 | 0.034 |
| Scholarly communication | 0.023 | 0.019 |
| Open science | 0.004 | 0.039 |
| Research integrity | 0.014 | 0.023 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".