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Record W7162106062 · doi:10.82308/10485

Transracial adoption : the social worker as a cultural educator

2002· dissertation· en· W7162106062 on OpenAlexaboutno aff
Brigitte Beauchamp

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsnot available
Fundersnot available
KeywordsSocial workEthnic groupSubject (documents)Cultural diversityCultural competenceSocial policy

Abstract

fetched live from OpenAlex

Transracial adoption continues to be a widely debated and controversial subject matter. The purpose of this study was to complete an examination of what adoption social workers do to teach adoptive parents regarding their adoptees' differing cultural and ethnic background. A questionnaire was sent to all adoption social workers employed by Children's Aid Societies in Ontario; 90 responded. The questionnaire included questions regarding demographic information, opinions of transracial adoption and also explored the actual actions taken to teach adoptive parents about their adoptees' differing cultural and ethnic background. Findings were that the majority of adoption social workers in Ontario are Caucasian, and that they have a high level of agreement with the appropriateness of transracial adoptions. The total actions taken by social workers to educate adoptive parents were found to be quite low; a higher number of actions taken was associated with: (1) The social workers being older; (2) The fact that they adopted transracially themselves; (3) Longer experience in social work, and specifically in adoption; (4) More transracial adoptions facilitated.

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.156

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.348
Teacher spread0.325 · 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 designQualitative
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

Citations0
Published2002
Admission routes1
Has abstractyes

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