Caregivers' experiences and perceptions of suicidality among their children and youth with fetal alcohol spectrum disorder
Bibliographic record
Abstract
Individuals with Fetal Alcohol Spectrum Disorder (FASD) experience a range of biopsychosocial vulnerabilities that can increase the possibility of adverse life outcomes, including a heightened risk of suicidality. In this study, we explored the lived experiences of caregivers of children and youth with FASD and suicidality, including their perceptions of their child and youth's suicidal experiences. Between March and June 2021, six comprehensive, semi-structured interviews were conducted with five caregivers of children and youth with FASD (Mage = 14.5 years, range 11–22) who were currently experiencing suicidality or had a history of suicidality. Data were analyzed using interpretative phenomenological analysis and then developed into a composite vignette informed and organized by the social-ecological suicide prevention model (SESPM). The composite vignette revealed the narratives of families living with and caring for children and youth with FASD who experience suicidality in relation to the complex and intersectional individual, relational, community, and societal level contextual and protective factors. Findings from this study highlight the critical need for comprehensive FASD-informed suicide prevention and intervention approaches to promote the mental health and wellbeing of children and youth with FASD and their 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".