Live-In Family Enhancement (LIFE): a comprehensive program for healing and family reunification
Bibliographic record
Abstract
Family enhancement is an approach to child protection that has been recommended by numerous reviews of child welfare practice. A recent example emerged from a comprehensive review of the child welfare system in Manitoba, Canada. The inquiry recommended that family enhancement be utilised in all child welfare cases, and be funded at levels reasonable enough to allow comprehensive support for families seeking to re-unify. Agency staff told the inquiry, however, that current resources permitted only limited service, for insufficient time, and for only a small percentage of families in care. An Indigenous agency in Manitoba, Metis Child, Family, and Community Services, has devised an innovative approach in which parents were fostered along with their children. This allows the agency to make a wide range of resources available to families on a 24-hour basis for 8-to-12-month periods. The costs do not appear to exceed those of regular fostering of children. This Live-In Family Enhancement (LIFE) program was extensively evaluated in 2015. The findings show a significant set of benefits to families such as stronger attachment between parents and children, improved parenting skills for caregivers, strengthened social support for families, newly acquired household management skills, successful completion of employment training, and significantly improved trust in social workers and the agency. Many of these factors are correlated, in research, with increased rates of family reunification. The paper documents these findings, and recommends that this approach be expanded for use in prevention as well as reunification.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".