Differentiating between child protection and family support in the Canadian child welfare system's response to intimate partner violence, corporal punishment, and child neglect
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Rates of reported child maltreatment nearly doubled in Canada over the period 1998-2003, an increase that reflects growing awareness of the harmful effects of an expanding array of parental behaviors, including corporal punishment, lack of supervision, and exposure to intimate partner violence (IPV). Some of these situations may benefit from voluntary family support programs outside of the child welfare system. Analyzing a sample of 11,807 investigations, this paper compares cases where the sole concern is exposure to IPV, or hitting a child, or neglect, or other forms of investigated maltreatment. Situations where exposure to IPV or potentially abusive hitting were the sole reason for investigation presented with fewer risk factors and were less likely to lead to ongoing child welfare interventions compared to other maltreatment investigations. While situations involving alleged neglect presented a higher risk profile and elicited a more intensive child welfare response than did exposure to IPV or hitting, opportunities for alternative services were nevertheless identified. The study also found that visible minority families were overrepresented in cases involving hitting and that Aboriginal families were overrepresented in cases involving neglect. Overall the findings support the development of alternative response programs in Canada.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 it