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Record W2605433059 · doi:10.23889/ijpds.v1i1.140

Using Linked Administrative Data to Examine the Educational Outcomes of Children in Care in Manitoba

2017· article· en· W2605433059 on OpenAlexaffabout
Marni Brownell, Mariette Chartier, Wendy Au, Leonard MacWilliam

Bibliographic record

VenueInternational Journal for Population Data Science · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsUniversity of ManitobaManitoba Health
Fundersnot available
KeywordsReceiptWelfareMedicinePopulationFamily incomeHealth careFamily medicineMultivariate analysisPediatricsDemographyNursingEnvironmental health

Abstract

fetched live from OpenAlex

ABSTRACT
 ObjectivesManitoba has one of the highest rates of children in out-of-home care in the world. Our aims were to: 1) describe characteristics of children in care; 2) determine differences in educational outcomes for children in care, children receiving in-home protection services and children not involved with child welfare; and, 3) identify factors contributing to educational success for children in care.
 ApproachPopulation-level administrative data from the Population Health Research Data Repository at the Manitoba Centre for Health Policy, were used. Several data sources were linked together at an individual level: child welfare services (e.g., in care, in-home services; hospital birth records (e.g., birth weight, gestational age); health status (e.g., from hospitalizations, physician visits); family risk factors (e.g., maternal prenatal smoking and/or drinking, maternal education); family characteristics (e.g., number of children in family, receipt of income assistance); education assessments at kindergarten, grades 3, 7, 8, 9 and 12. Children in care from 1998 onward were included. Number of children analyzed differed depending on the educational outcome examined: e.g., analyses at kindergarten include 1,893 children in care, 4,229 children receiving in-home services, and 32,280 children not involved with child welfare services; for high school completion these numbers were 11,234, 40,671, and 162,265 respectively. Multivariate regressions identified characteristics associated with educational outcomes for children in care.
 ResultsOver one-third of children in care first entered care as infants, and of those, close to half were apprehended at birth. 5.5% of children in Manitoba spent some time in care before their 15th birthday, with an almost tenfold difference for Indigenous (16.6%) and non-Indigenous (1.7%) children. Across the range of educational outcomes, children in care did more poorly than children receiving in-home services, who in turn did more poorly than children with no child welfare involvement. For example, only 33.4% of children in care completed high school compared to 66.8% of children receiving in-home services and 89.3% of children with no child welfare involvement. Adjusting covariates reduced differences but all remained statistically significant. Factors associated with positive outcomes for children in care differed depending on the outcome and included measures like poverty (at Kindergarten, p<0.05; at high school, p<0.0001) and total number of care placements (at Kindergarten, p<0.05; at grade 9, p<0.01).
 ConclusionsChildren in care are at risk of experiencing poor educational outcomes, from school entry onwards. Identifying factors associated with educational success for children in care can inform policy and program development.

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 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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.003
Open science0.0050.001
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 head0.311
GPT teacher head0.515
Teacher spread0.204 · 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 teacher head, 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

Citations1
Published2017
Admission routes2
Has abstractyes

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