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Record W1496467813 · doi:10.7202/1068843ar

Beyond Church and State: Rethinking Who Knew What When About Residential Schooling in Canada

2020· article· en· W1496467813 on OpenAlexaffvenueabout
Anthony Di Mascio

Bibliographic record

VenueFirst Peoples Child & Family Review An Interdisciplinary Journal Honouring the Voices Perspectives and Knowledges of First Peoples · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsBishop's University
Fundersnot available
KeywordsState (computer science)Residential schoolNothingCriminologySociologyLawPolitical scienceSocioeconomicsEpistemology

Abstract

fetched live from OpenAlex

This study moves beyond evidence left behind by church and state officials to ask who knew what when about residential schooling in Canada. While our historical knowledge about residential schooling and the people involved in and affected by it has grown in recent years, scholars have characteristically focused on official church and state agents. Other non- Aboriginal individuals who lived in or spent some time in Aboriginal communities, and who are not typically implicated in residential schooling, have consequently been overlooked as a source of knowledge about the truth of residential schooling. By broadening our examination of the various people who knew about residential schooling, by considering what they knew, and by coming to terms with the truth that many of them did little or nothing to stop the abuse they witnessed, this study suggests that we can more fully understand ourselves and our history, and we can be more properly prepared to move forward in a process of reconciliation and healing.

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)0.016
metaresearch head score (Gemma)0.026
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 score0.177
Threshold uncertainty score0.955

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.006
Science and technology studies0.0300.023
Scholarly communication0.0100.007
Open science0.0030.007
Research integrity0.0030.009
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.289
Teacher spread0.275 · 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

Citations0
Published2020
Admission routes3
Has abstractyes

Explore more

Same venueFirst Peoples Child & Family Review An Interdisciplinary Journal Honouring the Voices Perspectives and Knowledges of First Peoples→Same topicIndigenous Health, Education, and Rights→French-language works237,207→