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Record W3208146819

Policy, Poverty, and Indigenous Child Welfare: Revisiting the Sixties Scoop

2018· dissertation· en· W3208146819 on OpenAlexfundaboutno aff
Sarah Carneiro

Bibliographic record

VenueQSpace (Queen's University Library) · 2018
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
FundersQueen's UniversityStrong
KeywordsSCOOPIndigenousWelfarePovertyPolitical scienceEconomicsEconomic growthEngineeringLaw
DOInot available

Abstract

fetched live from OpenAlex

I analyse the Sixties Scoop through the lens of Indigenous and feminist scholarship to contextualize the Scoop within the specific historical, political, and cultural moment of the postwar Canadian “welfare state” during which it was occurring. In the 1960s and 1970s, Canada was attempting to foment a unique “Canadian” identity that became increasingly tied to the values of cultural pluralism and tolerance. During this time, both the state and Indigenous activism questioned where and how Indigenous people would “fit” (or would not fit) into the burgeoning Canadian cultural “mosaic” of the late 20th century. Through an analysis of the 1966/67 federal government report, A Survey of the Contemporary Indians of Canada: Economic, Political, and Educational Needs and Policies (The Hawthorn Report), alongside articles from the Journal – Ontario Association of Children’s Aid Societies (JOACAS), mostly authored by social workers about reserve communities in Northern Ontario during the 1960s and 1970s, I aim to illuminate the intimate relationship between capitalist development, settler colonialism, and patriarchy in postwar Canada. I argue that one of the causes of the Scoop was the inability of governments and Children’s Aid Societies (CAS) administrators and frontline service providers to conceptualize the mass apprehension of Indigenous children from their homes during the 1960s to 1980s as holistically and inextricably connected to the social, political, cultural, and economic aspects of Indigenous people’s lives.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.893
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0220.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.006
GPT teacher head0.228
Teacher spread0.223 · 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 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

Citations0
Published2018
Admission routes2
Has abstractyes

Explore more

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