Transforming a Wild World: Helping Children and Families to Address Neglect in the Province of Quebec, Canada
Bibliographic record
Abstract
Neglect is a complex social problem with serious consequences for the fulfilment of the needs of a child by adults in the child's immediate family and social network – not only parents, but other adults who come into contact with the child (including professionals). However, child protection systems have difficulty taking into account the social nature and the relational complexity of this issue. In fact, they have, consequently, a tendency to concentrate on the parents' deficiencies with regard to their responsibility to their children. This article describes the theoretical foundation of an ecosystemic and developmental model that forms the basis for the development of integrated child neglect services in Quebec, Canada. It also describes the components and activities that aim to operationalise this ecosystemic and developmental model of child neglect. Copyright © 2014 John Wiley & Sons, Ltd. ‘This article describes the theoretical foundation of an ecosystemic and developmental model’ Key Practitioner Messages: Child neglect is characterised by the collapse of the social organisation surrounding children and their parents. Social action targeting neglect must be based on: an ecosystemic and developmental understanding of the child's needs and the parents' responsibilities; a participatory approach involving parents and children; allowance for the parents' experience of their role in the development of their children; the creation of normative developmental experiences for the children. ‘Child negelct is characterised by the collapse of the social organisation surrounding children and their parents’
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".