Examining the Prospects for Developing a National Child Maltreatment Surveillance System in Ireland
Bibliographic record
Abstract
Abstract The Irish Government pledged to reducing the prevalence of child maltreatment under the WHO Regional Committee for Europe plan on reducing child maltreatment. As a first step towards a rights-based and public health approach to maltreatment prevention, the WHO plan recommends making child maltreatment more visible across the region, with better surveillance through the use of national surveys that use standardized, validated instruments. We review the policy context, present current Irish data holdings, and outline some of the complexities reported in the literature concerning various surveillance methods in the context of the proposal to establish and maintain a surveillance system for child maltreatment in Ireland. Conclusions highlight the need for Ireland to adopting an approach to surveillance as soon as it is feasible. The paper outlines how such a programme is necessary to address the current absence of evidence on which prevention policies can be developed and to compliment the current child protection system. Drawing on a review of current methods in use internationally, we outline options for an Irish child maltreatment surveillance programme.
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 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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".