FROM MOPPing uP the DAMAge tO PReVenting the FlOOD: the ROle OF sOCiAl POliCy in PReVenting ViOlenCe AgAinst ChilDRen
Bibliographic record
Abstract
Sweden is a country where children’s rights and developmental needs occupy the top level of the political agenda. There, child poverty is unacceptable, violence against children is not tolerated, a single child’s death is too many – and extensive family support is woven into the fabric of the society. Where other nations have taken a punitive or neglectful approach to families facing challenges, Sweden has taken a proactive, preventive and supportive approach. The results are impressive: child poverty, child abuse fatalities and child homelessness are virtually non-existent. A foundation has been created for family health and, as a result, children’s potential to blossom is not squandered. This paper describes Sweden’s approach to family policy in order to generate ideas for changes that could be made in Canada and New Zealand in order that children can thrive in these countries, too.
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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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.023 |
| Scholarly communication | 0.015 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".