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Record W2625429781

Changing National Policy on Violence Affecting Children: An impact assessment of UNICEF and partners' multi-country study on the drivers of violence affecting children in Peru

2017· article· en· W2625429781 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueERA · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsnot available
FundersTrinity College DublinUniversity of EdinburghYork UniversityUNICEF
KeywordsPoison controlHuman factors and ergonomicsPolitical scienceOccupational safety and healthSuicide preventionEconomic growthInjury preventionPsychologyEnvironmental healthSocioeconomicsMedicineEconomics
DOInot available

Abstract

fetched live from OpenAlex

The Multi-Country Study aimed to increase understanding of what drives violence affecting children in four countries – Peru, Italy, Zimbabwe and Viet Nam - and how best to address it. The impact assessment was conducted by independent researchers at the University of Edinburgh using an outcomes framework approach (Morton, 2015a) and focused on Peru. The study used a practically-focused, multi-partner approach to generating evidence that was important for subsequent impact. The specific combination of research outputs, awareness-raising, capacity-building and knowledgebrokering activities, built on this partnership approach, and maximised impact. UNICEF took a knowledge brokerage role to connect people with the research and to ensure key actors were aware of and included in the study, its findings and possible actions. Richer connections
\nbetween research and policy were developed and sustained. Being engaged closely with the study helped local actors to be clearer about the issues of violence in their country, and was seen as a useful way of forwarding the agenda to tackle violence. Partnership kept levels of awareness high during a change of government. The study filled an evidence gap, helping to shift discourse on violence and give it higher political priority. There is now more capacity in Peru for academics, government analysts and policy makers to work together to address this issue and to get the evidence they need to develop policy. The research improved access to high quality information on violence, which in turn contributed to legislative changes, will help to leverage funding and has informed programmes at the ministerial level. It has also improved coordination efforts at the national level regarding violence prevention and has influenced how other countries in the region approach violence issues. Study partners will continue to work on violence issues. Levels of violence against children may have begun to decrease in Peru since the start of the study, but the final impact of the study is not yet known. The Research Contribution Framework used in this study was adaptable and effective in a middle income country.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.028
GPT teacher head0.399
Teacher spread0.372 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it