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Record W2239120300 · doi:10.3138/cjh.ach.50.3.004

The Adoption of Frances T: Blood, Belonging, and Aboriginal Transracial Adoption in Twentieth-Century Canada

2015· article· en· W2239120300 on OpenAlexvenueaboutno aff
Allyson Stevenson

Bibliographic record

VenueJournal of History · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsKinshipIndigenousAllianceSociologySovereigntyGender studiesLegislationColonialismWelfareIdentity (music)Indian countryPolitical scienceEthnologyLawAnthropologyPolitics

Abstract

fetched live from OpenAlex

This article offers a case study of a transracial adoption involving a mixed-heritage child and a legally Indian adoptive couple. The legal adoption of “Frances T” in 1937, considered to be “in the best interests of the child” by social welfare professionals, took on gendered and racialized meaning in the discourse of the Indian Affairs bureaucrats who subsequently attempted to overturn it. The article uses the case to examine Canadian settler-colonial beliefs about blood and belonging. It also explores the complications that emerged as legally defined Indian people came into contact with provincial child welfare legislation. With the goal of eliminating Indigenous legal and kinship forms, the Indian Act colonized adoption so it could be used as a method of assimilation rather than as a traditional form of Indigenous alliance creation and childcare. The case highlights the themes of Indigenous kinship and sovereignty, legislated Indian identity, and the growing involvement of social workers in the lives of Aboriginal people in the mid- to late-twentieth century.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.576

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0400.016
Scholarly communication0.0040.001
Open science0.0010.005
Research integrity0.0010.004
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 head0.009
GPT teacher head0.227
Teacher spread0.218 · 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

Citations10
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueJournal of HistorySame topicCanadian Identity and HistoryFrench-language works237,207