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Record W7064990730

Creating Equity Education for First Nation, Métis and Inuit Students in Ontario Provincial Classrooms

2023· article· en· W7064990730 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2023
Typearticle
Languageen
FieldEngineering
TopicSurface Roughness and Optical Measurements
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousViewpointsEquity (law)Indigenous educationTraditional knowledgeAction planCommissionSocial justicePlan (archaeology)Educational equity
DOInot available

Abstract

fetched live from OpenAlex

There is an education gap in the achievement of Indigenous students today linked to the colonial domination era. Due to inequities in provincial education systems, Indigenous students have not been performing and succeeding academically like non-Indigenous students. Since 2015, strategies and solutions have emerged to correct this ongoing Canadian issue. 94 Calls to Action by the Truth and Reconciliation Commission of Canada (TRC) were posted to help repair the harm caused by residential schools and move forward with reconciliation. This Organizational Plan (OIP) will focus on École secondaire catholique Entourage (ESCEntourage) (a pseudonym) to improve instruction for Indigenous students' academic, social, and emotional achievement. This plan aims to help FNMI students succeed academically like their dominant counterparts, graduate, and be able to move on to post-secondary studies to contribute fully to society as active citizens. This OIP offers teaching practices aimed at helping instruction become more culturally relevant and inclusive and to create challenges for students as part of equity-driven work. Given its roots in assisting underprivileged and oppressed communities towards more equitable solutions, a critical social justice lens is used as the underpinning framework. I draw on transformational and culturally relevant leadership (CRL) approaches to persuade and inspire early adopter teachers to recognize and grasp the significance of integrating Indigenous viewpoints and adopting cultural practices in their classrooms.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.560
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.124
GPT teacher head0.326
Teacher spread0.201 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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