Mothers with Serious Mental Illness: Their Experience of “Hitting Bottom”
Bibliographic record
Abstract
This study sought to understand the experience of "hitting bottom" from the perspective of 32 mothers with serious mental illness. Secondary narrative analysis of 173 stories about experiences related to hitting bottom were identified. Enactment of their perceived mothering roles and responsibilities was compromised when confronted by the worst of illness. Subsequent to women's descent to bottom was their need for a timely and safe exit from bottom. An intense experience in bottom further jeopardized their parenting and treatment self-determination and, for some, their potential for survival. The results suggest that prevention of bottom is feasible with early assessment of the diverse issues contributing to mothers' vulnerabilities. Interventions to lessen their pain may circumvent bottom experiences. Healing necessitates purposeful approaches to minimize the private and public trauma of bottom experiences, nurture growth towards a future, and establish resources to actualize such a life.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".