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Record W2333279747 · doi:10.1177/030857591103500302

Open Adoption: Adoptive Parents' Experiences of Birth Family Contact and Talking to Their Child about Adoption

2011· article· en· W2333279747 on OpenAlexfundno aff
Mandi MacDonald, Dominic McSherry

Bibliographic record

VenueAdoption & Fostering · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsnot available
FundersEconomic and Social Research CouncilBeijing Academy of Agricultural and Forestry SciencesUniversity of British Columbia
KeywordsCuriosityPsychologyDevelopmental psychologySocial psychology

Abstract

fetched live from OpenAlex

The trend towards more open adoption presents adopters with unique parenting challenges associated with satisfying the child's curiosity about their origins and maintaining relationships with birth family through contact. This article by Mandi MacDonald and Dominic McSherry focuses on the experiences of 20 sets of adoptive parents who were interviewed as part of the Northern Ireland Care Pathways and Outcomes Study. Interviews were analysed following the principles of Interpretative Phenomenological Analysis (IPA). The article explores adoptive parents' experience of talking to their child about adoption and of post-adoption contact with members of the birth family. Adopters discussed adoption sensitively with their child but were concerned that difficult and complex family histories would present a risk to the child's self-esteem and emotional well-being. All forms of contact proved emotionally and practically burdensome; however, adopters were committed to making it work for the child's benefit and were open to increased contact should the child wish it in the future. There was little relationship with birth family outside of formal contact. The study reveals the need for a mechanism to facilitate communication with birth families if adopters are to be able to respond to the child's changing need for contact and information.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.370
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.001
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 head0.065
GPT teacher head0.299
Teacher spread0.233 · 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 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

Citations40
Published2011
Admission routes1
Has abstractyes

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