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Record W2017496862 · doi:10.3390/socsci3030483

Urgent Protection versus Chronic Need: Clarifying the Dual Mandate of Child Welfare Services across Canada

2014· article· en· W2017496862 on OpenAlexaffabout
Nico Trocmé, Alicia Kyte, Vandna Sinha, Barbara Fallon

Bibliographic record

VenueSocial Sciences · 2014
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversity of TorontoUniversité de MontréalMcGill University
Fundersnot available
KeywordsNeglectChild protectionMandateHarmChild abuseWelfareMedicinePsychologyPhysical abusePsychiatryPoison controlInjury preventionEnvironmental healthClinical psychologyPolitical scienceNursingSocial psychologyLaw

Abstract

fetched live from OpenAlex

This study analyzed data from the 1998, 2003 and 2008 Canadian Incidence Study of reported child abuse and neglect (CIS) and compared the profile of children who were reported for an urgent protection investigation versus any other investigation or assessment. As a proportion of all investigations, urgent protection cases have dropped from 28% of all investigations in 1998, to 19% in 2003, to 15% in 2008. Results from the CIS-2008 analysis revealed that 7% of cases involved neglect of a child under four, 4% of cases involved sexual abuse, 2% of cases involved physical abuse of a child under four and 1% of cases involved children who had sustained severe enough physical harm that medical treatment was required. The other 85% of cases of investigated maltreatment involved situations where concerns appear to focus less on immediate safety and more on the long-term effects of a range of family related problems. These findings underscore the importance of considering the dual mandate of child welfare mandates across Canada: intervening to assure the urgent protection and safety of the child versus intervening to promote the development and well-being of the child.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.747
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.030
GPT teacher head0.315
Teacher spread0.285 · 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.

Study designOther design
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

Citations80
Published2014
Admission routes2
Has abstractyes

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