MétaCan
Menu
Back to cohort
Record W2161185360 · doi:10.1177/0265407510384419

Parental management of adoptive identities during challenging encounters: Adoptive parents as ‘protectors’ and ‘educators’

2010· article· en· W2161185360 on OpenAlexaff
Elizabeth A. Suter, Kristine L. Reyes, Robert L. Ballard

Bibliographic record

VenueJournal of Social and Personal Relationships · 2010
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPsychologyIdentity (music)Thematic analysisSocial psychologyDevelopmental psychologySociologyQualitative researchAesthetics

Abstract

fetched live from OpenAlex

This interpretive study utilized Owen’s ((1985) Thematic metaphors in relational communication: A conceptual framework, The Western Journal of Speech Communication, 49, 1—13) metaphoric approach to identify and understand the cognitive structures undergirding transracial, international adoptive parents’ sense-making and management of familial and personal identities during interactions that challenge familial and personal identities. Twelve focus groups with 69 parents with adopted children from either Vietnam or China were examined inductively. The results found the metaphors of adoptive parent as protector and adoptive parent as educator manifest in parental discourse. Protectors aim to guard identity, enacting defensive, somewhat reactive discourse, meeting invasive remarks straight-on, using confrontational, strategic, and toughening discourse. Seeking to build identity, educators enact less reactive and more intentional discourse through discourses of preparation, modeling, and debriefing. Based on these findings, we suggest improvements to pre-adoptive training.

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)0.005
metaresearch head score (Gemma)0.007
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 score0.005
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.006
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.002
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 head0.035
GPT teacher head0.306
Teacher spread0.270 · 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

Citations34
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Social and Personal RelationshipsSame topicLanguage, Metaphor, and CognitionFrench-language works237,207