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Record W1713620072 · doi:10.1002/imhj.21381

Whose Rights Count? Negotiating Practice, Policy, and Legal Dilemmas Regarding Infant–Parent Contact When Infants are in Out‐of‐Home Care

2013· article· en· W1713620072 on OpenAlexaff
Devi Miron, Claud Bisaillon, Brigid Jordan, Graham Bryce, Yvon Gauthier, Martin St‐André, Helen Minnis

Bibliographic record

VenueInfant Mental Health Journal · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsUniversité de MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsNeglectPerspective (graphical)NegotiationWelfareInfant mental healthPsychologyChild abuseDevelopmental psychologyMental healthMedicineNursingPsychiatryPolitical scienceSuicide preventionPoison controlEnvironmental healthLaw

Abstract

fetched live from OpenAlex

This article takes a human rights perspective with a view to articulating the infant's perspective when the infant has been subjected to abuse, neglect, or both and is reliant on the state to ensure his or her health and well-being. When a young child is removed from parental care, important and often difficult decisions have to be made about subsequent contact between child and parent. We consider a number of dilemmas which may arise for practitioners when they are assisting child welfare decision makers in relation to contact, and acknowledge the limited empirical follow-up studies of the impact of child welfare practice and legal decisions on infant outcomes. We draw on the significant and substantive evidence base about infant emotional and cognitive development and infant-parent attachment relationships as well as infant mental health to illuminate the infant's subjective experience in these practice dilemmas. We describe innovations in practice from various countries, which seek to shed light on the challenges often associated with contact.

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)0.098
metaresearch head score (Gemma)0.122
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 score0.098
Threshold uncertainty score0.520

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0980.122
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0200.054
Scholarly communication0.0190.019
Open science0.0030.015
Research integrity0.0150.014
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.340
Teacher spread0.321 · 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

Citations16
Published2013
Admission routes1
Has abstractyes

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