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Record W2948808174

HEALTHY CHILD DEVELOPMENT: LEGISLATIVE AND POLICYAPPROACHES IN WESTMINSTER DEMOCRACIES

2008· article· en· W2948808174 on OpenAlexaboutno aff
Michelle Jenkins, Jill Houbé, Neale SmithandCraig Mitton

Bibliographic record

VenueThe Canadian Bar Review · 2008
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationLegislatureNature versus nurtureAccountabilityPublic administrationIncentivePolitical scienceStrengths and weaknessesPublic healthPublic relationsEconomic growthSociologyLawMedicineEconomicsPsychologyNursing
DOInot available

Abstract

fetched live from OpenAlex

Healthy child development depends upon parents, families and communities, backstopped by enabling and supportive public institutions and legislation. Governments around the world have made moral and legal commitments to protect and nurture their youngest citizens. This paper outlines and assesses the strengths and weaknesses of health and child development-related legislation from Canada, Australia, the United Kingdom and New Zealand. An effective system should provide holistic and comprehensive services (and be able to identify and fill gaps), as well as include incentives and processes for continuous quality improvement and appropriate accountability both of public servants to the Legislative branch and elected officials to the public. Such systems also need to collaborate and coordinate across the various sectors that can influence the many social determinants of health.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.094
Threshold uncertainty score0.680

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.010
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0070.004
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.119
GPT teacher head0.371
Teacher spread0.252 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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