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Record W4392190272 · doi:10.1080/03054985.2024.2320361

The Sisyphean continuum: countering the racial-colonial challenges of Indigenous education

2024· article· en· W4392190272 on OpenAlexaboutno aff
Troy Meston, Chesley Cutler, Tasha Riley, Harry Van Issum

Bibliographic record

VenueOxford Review of Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousColonialismPolitical scienceSociologyGender studiesPedagogyEconomic growthEcologyLaw

Abstract

fetched live from OpenAlex

Using the symbolism of what we consider to be a ‘Sisyphean continuum’, in this paper the Anglosphere countries of Canada, New Zealand, the United States, and Australia are grouped to strategically reveal the shared challenges Indigenous peoples encounter in racial-colonial education systems. Fittingly, parallels are drawn between the punitive loop the mythical figure Sisyphus was doomed to. For Indigenous peoples bound up in dominant educational spaces, the barrage of racial-colonial institutional tools and mechanisms, enduring racism and cultural assimilation, the absence of collective achievement, the lack of Indigenous representation (e.g. personnel or knowledge), in parallel with sustained inter-generational advocacy, aptly mirrors the exhaustive punitive loop of Sisyphus. Guided by theoretical bridges synergising Indigenous and Western qualitative research techniques, three commonly repeated challenges (1. Deficit thinking; 2. Institutions; 3. Curriculum) are the focus of this paper. These themes are drawn from a broader study that sought the wisdom of sixteen Indigenous experts from across the Anglosphere. Our paper’s findings recentre the cycling educational challenges Indigenous peoples encounter and draw attention to the urgent need to turn towards and embrace marginalised voices and knowledge paradigms.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.980
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.016
GPT teacher head0.350
Teacher spread0.334 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations8
Published2024
Admission routes1
Has abstractyes

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