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Record W1533530187 · doi:10.7202/1077180ar

A Discussion Paper on Indigenous Custom Adoption Part 2: Honouring Our Caretaking Traditions

2021· article· en· W1533530187 on OpenAlexaffvenueabout
Lara di Tomasso, Sandrina de Finney

Bibliographic record

VenueFirst Peoples Child & Family Review An Interdisciplinary Journal Honouring the Voices Perspectives and Knowledges of First Peoples · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsIndigenousKinshipStatutory lawContext (archaeology)Corporate governanceSociologySocial connectednessWelfareEnvironmental ethicsPolitical sciencePublic relationsLawSocial psychologyManagementGeographyPsychologyEcologyEconomics

Abstract

fetched live from OpenAlex

This paper forms Part 2 of a two-part discussion paper. Part 1 outlined a short history of adoption in Canada, examined the impact of forced, closed, and external adoptions on Indigenous adoptees and families, and traced the move toward more open statutory adoptions and greater cultural continuity in adoptions. Having zeroed in on the entangled histories of adoption and colonization in Part 1, here we explore traditional and contemporary practices of Indigenous custom adoption and caretaking. We first recount Western understandings and impositions, then feature Indigenous perspectives that centre spiritual and ceremonial protocols, values regarding child well-being and community connectedness, and the importance of kinship and customary forms of caretaking. We consider both the promises and complexities involved in designing and implementing custom adoptions, and the urgent need for adequate, equitable funding and supports to ensure their feasibility and sustainability. Finally, we highlight the resurgence of Indigenous authority over child welfare within a context of Indigenous self-determination and self-governance.

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)0.017
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.061
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0170.009
Scholarly communication0.0050.006
Open science0.0010.006
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0090.001

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 head0.020
GPT teacher head0.319
Teacher spread0.299 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2021
Admission routes3
Has abstractyes

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