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Record W2007428179 · doi:10.1163/092755608x278902

Rights Conceptions of Maltreated Children Living in State Care

2008· article· en· W2007428179 on OpenAlexaffabout
Martin D. Ruck, Michele Peterson‐Badali, Janet Bone

Bibliographic record

VenueThe International Journal of Children s Rights · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFoster careKinshipPsychologyDevelopmental psychologyState (computer science)Focus groupKinship careSocial psychologySociologyPolitical scienceMedicineNursingLaw

Abstract

fetched live from OpenAlex

Abstract Although research on children's thinking about children's rights has increased over the past few decades, there has been virtually no study of children with maltreatment histories who live in state care. This group is particularly vulnerable, having suffered profound violations of their right to security at the hands of their caregivers and often residing in non-kinship settings. We examined conceptions and attitudes about nurturance and self-determination rights in 100 10-18-year-old maltreated children living in state care in Toronto, Canada. Participants demonstrated a more accurate definition of a right than typically-developing youth in previous studies. Rights that were salient related predominantly to participants' current – rather than historical – circumstances. However, compared to nonmaltreated children in previous research, there was a greater focus on rights related to protection and access to basic needs, which suggests that basic issues of protection and provision are still quite relevant in their lives. While type of maltreatment did not relate to participants' thinking about rights, differences emerged between youth living in foster care and group homes. In general, rights that appeared salient to participants had an aspirational quality in that they related to opportunities or benefits that they deemed important but may not have experienced. Theoretical and practical implications of the results are discussed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score0.995

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.017
GPT teacher head0.298
Teacher spread0.281 · 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

Citations12
Published2008
Admission routes2
Has abstractyes

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