Child guardianship in a Canadian home visitation program for women who use substances in the perinatal period.
Bibliographic record
Abstract
BACKGROUND: Retaining guardianship of one's infant is often a priority for pregnant women who use substances, and may be beneficial to infants when they are safe in their mothers' care. Previous studies from the United States have identified several maternal psychosocial characteristics associated with the ability to keep an infant free from abuse or neglect; however, little is known about the impact of multiple risk factors on guardianship, particularly in Canadian intervention programs. OBJECTIVE: To describe maternal characteristics associated with child guardianship among pregnant women at risk of an alcohol and/or substance exposed pregnancy who attended a Canadian home visitation program. METHODS: Guardianship status at 6 months post-enrolment was extracted from a provincial program's records for all women enrolled between November 1999 and May 2005 (n=64). Bivariate analyses were performed to determine client characteristics most likely to have retained guardianship. RESULTS: At follow-up, 70% of participants were guardians of the index infant. Higher income, more prenatal care, no history of sexual abuse, better alcohol and psychiatric scores, and fewer risk factors on a cumulative risk index were significantly associated with retaining guardianship at 6 month follow-up (p<0.05). CONCLUSIONS: Retaining child guardianship may be the greatest challenge and opportunity for women experiencing problems in multiple domains of their lives, including those associated with substance dependence. Programs targeted at women who use substances while pregnant may best assist mothers to retain guardianship of their infants by supporting clients to address the complex social and health problems often found in conjunction with addictions.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".