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Record W88265620

The Fraser Region's early childhood screening program for children in care: evaluation report and recommendations for improved outcomes

2010· dissertation· en· W88265620 on OpenAlexfundno aff
Jordan Prince Wapass

Bibliographic record

VenueSummit (Simon Fraser University) · 2010
Typedissertation
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsnot available
FundersFraser Health Authority
KeywordsMedicineDevelopmental psychologyPsychologyFamily medicinePediatrics
DOInot available

Abstract

fetched live from OpenAlex

This study provides an evaluation of year one of the Fraser Region’s Early Childhood Screening program for children in care and provides recommendations to increase program effectiveness. The Fraser Region Ministry of Children and Family Development (MCFD) and the Fraser Health (FH) authority formed the screening program in 2007. This program is designed to support short and long-term best outcwomes for the Fraser Region’s children in care population through comprehensive health assessments and early intervention services. The program focuses on screening children when they reach 18 and 36 months of age in five key health areas: vision, dental, audiology (hearing), developmental progress and immunizations. This study contains data on 236 total children in care who were eligible for the screening program from January 1, 2008 to September 30, 2008. Of the 236 eligible children, 116 participated in the screening process. Recommendations for optimization of the assessment process and referral programs are provided.

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)0.045
metaresearch head score (Gemma)0.039
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.923
Threshold uncertainty score0.237

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0450.039
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.004
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.293
Teacher spread0.276 · 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 designObservational
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

Citations0
Published2010
Admission routes1
Has abstractyes

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