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Record W2076511893 · doi:10.1093/bjsw/bcq023

Current Practices and Barriers to the Provision of Post-Placement Support: A Pilot Study from Toronto, Ontario, Canada

2010· article· en· W2076511893 on OpenAlexafffundabout
Kathryn McKay, Lori E. Ross

Bibliographic record

VenueThe British Journal of Social Work · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsCentre for Addiction and Mental Health
FundersCanadian Institutes of Health ResearchOntario Ministry of Health and Long-Term Care
KeywordsPublic relationsFocus groupPerspective (graphical)BusinessBest practicePolitical scienceNursingMedicineMarketing

Abstract

fetched live from OpenAlex

Research investigating the practices of and barriers to provision of post-placement adoption support is sparse and has primarily focused on the perspectives of adoptive parents. This pilot study aims to contribute to this limited literature by investigating current practices and barriers from the perspective of adoption professionals. Eighteen adoption workers from two public adoption agencies in Toronto, Ontario, Canada, participated in two focus groups to discuss the post-placement supports they provide and/or utilise, as well as any barriers faced during support provision. Data were analysed using a descriptive phenomenological approach. Workers identified several key challenges to providing post-placement support, including barriers both internal (systemic) and external to the adoption system. The results suggest that further research in this area is warranted, ultimately to assist in the development of strategies to overcome barriers faced by adoption workers as they attempt to provide post-placement support.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.563
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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)0.0010.000

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 head0.014
GPT teacher head0.285
Teacher spread0.271 · 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 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

Citations8
Published2010
Admission routes3
Has abstractyes

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