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Record W2845304260 · doi:10.1177/1049731518783857

A Comparison of Foster Care Reentry After Adoption in Two Large U.S. States

2018· article· en· W2845304260 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueResearch on Social Work Practice · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsMcGill University
Fundersnot available
KeywordsReentryFoster careService (business)PsychologyMedicineNursingBusiness

Abstract

fetched live from OpenAlex

Purpose: This study examines foster care reentry after adoption, in Illinois and New Jersey. The provision of services and supports to adoptive families have garnered recent attention due to concern about the long-term stability of adoptive homes. Method: This study used administrative data to examine the pre-adoption characteristics associated with post-adoption foster care reentry. Children were tracked longitudinally, using administrative data, for five to fifteen years (depending on their date of adoption), or the age of majority. Results: Results indicated that most (95%) children did not reenter foster care after adoption. Findings from survival models suggested key covariates that may help to identify children most at risk for post-adoption reentry: child race, age at adoption, number of placement moves in foster care, and time spent in foster care prior to adoption. Conclusion: Study findings may help identify families most at-risk for post-adoption difficulties in order to develop preventative adoption service.

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.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.657
Threshold uncertainty score0.712

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.137
GPT teacher head0.543
Teacher spread0.406 · 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