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Record W2524758478 · doi:10.18584/iipj.2016.7.3.5

The Intergenerational Effects of Residential Schools on Children’s Educational Experiences in Ontario and Canada’s Western Provinces

2016· article· en· W2524758478 on OpenAlexaffvenueabout
Donna Feir

Bibliographic record

VenueInternational Indigenous Policy Journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicUrban, Neighborhood, and Segregation Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsResidential schoolAttendanceIndigenousWork (physics)PsychologySociologySocioeconomicsGeographyDemographyEconomic growth

Abstract

fetched live from OpenAlex

The intergenerational effects of Canada’s Indian Residential Schools have been widely discussed, but limited empirical work exists. I use the confidential wave of the 2001 Aboriginal Peoples Survey of Children and Youth (APSCY) to study the association between mothers’ residential school attendance and their children’s educational outcomes and experiences in Ontario, Manitoba, Saskatchewan, Alberta, and British Columbia. Holding a number of factors constant, I demonstrate that children whose mothers attended residential school are more likely to be suspended or expelled and have worse school experiences on average than children whose mothers did not. Children are also more likely to live off reserve and less likely to speak an Aboriginal language if their mothers attended a residential school. I also examine some contextual factors that may influence the relationship between mothers’ residential school attendance and their children’s educational outcomes. These findings suggest that dealing with the intergenerational legacy of residential schools is necessary for improving the educational outcomes of today’s Aboriginal youth.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.284
Teacher spread0.274 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations28
Published2016
Admission routes3
Has abstractyes

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