Developing self-concept clarity: A challenging but striving task for young vulnerable mothers
Bibliographic record
Abstract
Most studies on young mothers focus on the challenges they face in adjusting to motherhood and the risks these challenges pose for their children. However, emerging research highlights the distinct developmental challenges young mothers experience, separate from their maternal role. This study explores how vulnerable young mothers define themselves as young women navigating emerging adulthood, with a focus on self-concept clarity—the ability to describe oneself in positive and consistent ways. Achieving self-concept clarity is particularly challenging for vulnerable young mothers who have often faced adversity and trauma. This qualitative study involved interviews with 20 vulnerable young mothers living in affordable social housing tailored to their needs. The findings reveal that most participants struggled to define themselves outside the framework of motherhood. Three key self-concept themes emerged: an undefined sense of self shaped by both their transition to motherhood and past adverse experiences; a fragile, negatively impacted sense of self; and a sense of self aimed at resilience but still in development. These results highlight the need to view vulnerable young mothers’ sense of self as distinct from their social role as mothers, ensuring their personal development needs are not overlooked. By shedding light on the unique identity challenges faced by vulnerable young mothers, this study underscores the importance of support systems that address both their personal development and their roles as caregivers.
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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 | 0.040 | 0.043 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".