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Record W1974500811 · doi:10.1002/crq.175

Indian residential school survivors and state‐designed ADR: A strategy for co‐optation?

2007· article· en· W1974500811 on OpenAlexaboutno aff
Neil Funk‐Unrau, Anna Snyder

Bibliographic record

VenueConflict Resolution Quarterly · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsnot available
Fundersnot available
KeywordsResidential schoolNeglectState (computer science)Government (linguistics)Principal (computer security)Political scienceSociologySocioeconomicsCriminologyEconomic growthPsychologyPsychiatry

Abstract

fetched live from OpenAlex

Abstract The history of the Indian residential school system, which began officially in Canada in 1879, is marked by the persistent neglect and abuse of children and, as a result, of Aboriginal communities in general. The residential schools were an attempt to undermine the existence of Aboriginal communities and families. The federal government wanted Aboriginal people to assimilate into Canadian society. According to Duncan Campbell Scott, the principal architect of Indian residential school policy, “Our objective is to continue until there is not a single Indian in Canada that has not been absorbed into the body politic, and there is no Indian question and no Indian Department. … I want to get rid of the Indian problem” (Titley, 1986, p. 50). In many communities, every child between the age of five and eighteen was taken from his or her family and put in residential schools.

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)0.026
metaresearch head score (Gemma)0.028
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.028
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0180.012
Scholarly communication0.0160.012
Open science0.0050.028
Research integrity0.0070.013
Insufficient payload (model declined to judge)0.0200.002

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 head0.027
GPT teacher head0.334
Teacher spread0.306 · 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

Citations12
Published2007
Admission routes1
Has abstractyes

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