A narrative analysis of the birth stories of early‐age mothers
Bibliographic record
Abstract
The telling of birth stories (i.e. stories that describe women's experiences of giving birth) is a common and important social practice. Whereas most research on birth narratives reflects the stories of middle-class, 'adult' women, we examine how the birth stories told by early-age mothers interconnect with broader narratives regarding social stigma and childbearing at 'too early' an age. Drawing on narrative theory, we analyse in-depth interviews with 81 mothers (ages 15-24 years) conducted in Greater Vancouver and Prince George, Canada, in 2014-15. Their accounts of giving birth reveal the central importance of birth narratives in their identity formation as young mothers. Participants' narratives illuminated the complex interactions among identity formation, social expectations, and negotiations of social and physical spaces as they narrated their experiences of labour and birth. Through the use of narrative inquiry, we examine the ways in which re-telling the experience of giving birth serves to situate young mothers in relation to their past and future selves. These personal stories are also told in relation to a meta-narrative regarding social stigma faced by 'teenage' mothers, as well as the public's 'gaze' on motherhood in general - even within the labour and delivery room.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".