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Record W2410951726 · doi:10.1093/pch/21.5.236

The state of child and youth well-being in Canada: Not even close to good enough!

2016· article· en· W2410951726 on OpenAlexaffabout
Denis Daneman, Richard Stanwick, Robin Williams

Bibliographic record

VenuePaediatrics & Child Health · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsIsland HealthHospital for Sick ChildrenMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsState (computer science)MedicinePediatricsPsychologyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

In the recently released UNICEF Report Card 13: Fairness for Children, Canada ranks 26th out of the world's 35 richest nations across a swath of indicators of child and youth health and well-being (1). There's something wrong with this picture. We all agree that children and youth are our most prized possession; they represent our legacy, the future. But we don't seem to notice the data showing Canada as not doing near well enough to protect this legacy, or of the evidence clearly demonstrating a way out of this morass. Let's start with why. Many reasons can be evoked to explain why our children and youth are not thriving collectively as they ought to in a country as bountiful as Canada. Here are just a few, in no particular order: ...

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)0.004
metaresearch head score (Gemma)0.012
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: Empirical · Consensus signal: none
Teacher disagreement score0.108
Threshold uncertainty score0.783

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.007
Science and technology studies0.0110.006
Scholarly communication0.0080.004
Open science0.0020.004
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0050.000

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 head0.014
GPT teacher head0.293
Teacher spread0.279 · 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
GenreEmpirical

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

Citations2
Published2016
Admission routes2
Has abstractno

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