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Record W3209457704

Supporting First Nations students in First Nations schools: perspectives of Manitoba inclusive Indigenist educators

2017· dissertation· en· W3209457704 on OpenAlexfundaboutno aff
Donald Shackel

Bibliographic record

VenueMspace (University of Manitoba) · 2017
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
FundersAboriginal Affairs and Northern Development Canada
KeywordsPolitical scienceSociologyGender studiesPedagogy
DOInot available

Abstract

fetched live from OpenAlex

Academic studies and publications related to inclusive education typically exclude the history, development, funding, and experiences related to the provision of special/inclusive education in First Nations schools and communities in Manitoba. The intersections of Critical Theory, more specifically Critical Race and Critical Disability Theory, provide convergence to ground this qualitative study. In this study I examine the experiences of Indigenous inclusive educators, clinicians and non-Indigenous allies in relation to the structural/systemic issues affecting learners in First Nations communities. I also investigate Indigenist perspective and practice on special/inclusive education. Documenting the experiences, insights, and recommendations of educators who work within Manitoba First Nations education is an important step in improving educational outcomes for First Nations students with and without dis/abilities and/or other special needs who attend schools in First Nations communities in Manitoba. The stories of strength and hope documented in this study reveal the tenacity and resilience of the Indigenous educators, Indigenous clinicians and non-indigenous allies who work within education systems within First Nations communities throughout Manitoba.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.347
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0220.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.012
GPT teacher head0.309
Teacher spread0.297 · 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 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

Citations1
Published2017
Admission routes2
Has abstractyes

Explore more

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