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Record W4246707089 · doi:10.3998/mpub.10032835

Adoption and Multiculturalism

2020· book· en· W4246707089 on OpenAlexaboutno aff
Jenny Heijun Wills, Tobias Hübinette, Indigo Willing

Bibliographic record

VenueUniversity of Michigan Press eBooks · 2020
Typebook
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismPresumptionScholarshipSociologyCriticismGender studiesNarrativeDiversity (politics)EurocentrismPolitical scienceAnthropologyLawLiterature

Abstract

fetched live from OpenAlex

Adoption and Multiculturalism features the voices of international scholars reflecting transnational and transracial adoption and its relationship to notions of multiculturalism. The essays trouble common understandings about who is being adopted, who is adopting, and where these acts are taking place, challenging in fascinating ways the tidy master narrative of saviorhood and the concept of a monolithic Western receiving nation. Too often the presumption is that the adoptive and receiving country is one that celebrates racial and ethnic diversity, thus making it superior to the conservative and insular places from which adoptees arrive. The volume's contributors subvert the often simplistic ways that multiculturalism is linked to transnational and transracial adoption and reveal how troubling multiculturalism in fact can be. The contributors represent a wide range of disciplines, cultures, and connections in relation to the adoption constellation, bringing perspectives from Europe (including Scandinavia), Canada, the United States, and Australia. The book brings together the various methodologies of literary criticism, history, anthropology, sociology, and cultural theory to demonstrate the multifarious and robust ways that adoption and multiculturalism might be studied and considered. Edited by three transnational and transracial adoptees, Adoption and Multiculturalism: Europe, the Americas, and the Pacific offers bold new scholarship that revises popular notions of transracial and transnational adoption as practice and phenomenon.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.940
Threshold uncertainty score0.524

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.024
GPT teacher head0.213
Teacher spread0.189 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations4
Published2020
Admission routes1
Has abstractyes

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