Caregivers’ Management of Schooling for Their Children With Fetal Alcohol Spectrum Disorder
Bibliographic record
Abstract
In this article we describe a grounded theory study of how caregivers of school-aged children with fetal alcohol spectrum disorder (FASD) managed their children's schooling. We completed 30 interviews with 17 caregivers residing in a western Canadian province, as well as document analysis and 25 hours of participant observation. We used constant comparative analysis to construct our substantive theory: intertwining to fit in. The core variable is an iterative cycle caregivers used to resolve their main concerns: preventing their children from failing academically and in social interactions and preventing themselves from being regarded as unacceptable parents. To intertwine to fit in, caregivers used two strategies: orchestrating schooling and keeping up appearances. They also regulated their relationships with their children. "Intertwining to fit in" contributes to the literature on attachment and parenting and extends explanations about caregivers' advocacy for their children with FASD. The theory has implications for school personnel and practitioners, as well as researchers.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".