Intimate Partner Violence Among Pregnant Young Women
Bibliographic record
Abstract
This article explores intimate partner violence (IPV) as experienced by young women during the perinatal period. Using purposive sampling, data pertaining to the experiences of 10 young mothers were gathered through on-site participative observation and individual in-depth interviews. Interviews were coded in an inductive way to reflect the experiences of the participants before pregnancy and following pregnancy confirmation. Overall, the analyses of different manifestations of IPV and their contexts reveal the difficulty these young mothers experience in identifying themselves as a victim of IPV and in categorizing their partner's acts as intimate violence. The fear of family separation and the desire to protect their child contributed to the complexity of violence experienced in a context of motherhood. This article also reflects on the limits of data collection on this subject through comparison of the results of the interviews with the results of the Revised Conflict Tactics Scale (CTS-2). Further research is needed to provide more insight into victimization among young mothers and to inform interventions with the goal of helping young women overcome the intersecting challenges of violence and motherhood.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".