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From Miseducation to Education in the Global Canadian Indigenous Context

2021· article· en· W3194026191 on OpenAlexaboutno aff
Carol A. Mullen

Bibliographic record

VenueLiteracy Information and Computer Education Journal · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
FundersU.S. Department of State
KeywordsIndigenousContext (archaeology)Political scienceGeographyArchaeologyBiology

Abstract

fetched live from OpenAlex

Education in today's global Canadian Indigenous context is the subject of this review essay. Issues of educational injustice and systemic racism-taken up in the Indigenous literature-are presented. The analysis of critical sources led to binaries, such as miseducation-education, and associated theme From Miseducation to Education animated by the overarching construct De/colonization (of schools and society). Salient concerns in colonial Canadian schooling and broader societal systems were identified in addition to pedagogies for deconstructing colonial settler mindsets, decolonizing socializing influences, and transforming people, institutions, and society. It was also found that the movement from miseducation to education necessitates confronting systemic disorders that are embedded within the human psyche and spaces of formal learning, as reflected in colonial classrooms, policies, programs, and interactions. Transformative possibilities, which are expressed in teaching and learning, education and social policy, and educator and public understanding, are briefly addressed.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.949
Threshold uncertainty score0.371

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0060.012
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.006
GPT teacher head0.301
Teacher spread0.295 · 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 designTheoretical or conceptual
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
Published2021
Admission routes1
Has abstractyes

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Same venueLiteracy Information and Computer Education JournalSame topicIndigenous Health, Education, and RightsFrench-language works237,207