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Record W3119582504 · doi:10.15353/cjds.v9i5.692

The Myth of Independence as Better: Transforming Curriculum Through Disability Studies and Decoloniality

2020· article· en· W3119582504 on OpenAlexaffvenue
Maria Karmiris

Bibliographic record

VenueCanadian Journal of Disability Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Educational Policies and Reforms
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsWonderSociologyOppressionIndependence (probability theory)Gender studiesEthosDecolonialityColonialismMedia studiesAestheticsPolitical sciencePsychologySocial psychologyLaw

Abstract

fetched live from OpenAlex

By situating this article within disability studies, decolonial studies and postcolonial studies, my purpose is to explore orientations towards independence within public school practices and show how this serves to reinforce hierarchies of exclusion. As feminist, queer and postcolonial scholar Ahmed (2006, p. 3) contends, “Orientations shape not only how we inhabit, but how we apprehend this world of shared inhabitance as well as ‘who’ or ‘what’ we direct our energy toward” (Ahmed, 2006, p. 3). I wonder how the policies and practices that I am oriented towards as a public school teacher limit the possibilities of encountering teaching and learning as a mode of reckoning and apprehending “this world of shared inhabitance?” I also wonder how remaining oriented towards independence as the goal of learning simultaneously sustains an adherence to colonial western logics under the current neoliberal ethos. Through Ahmed’s provocation I explore how the gaze of both teachers and students in public schools remains oriented towards independent learning in a manner that sustains conditions of exclusion, marginalization and oppression.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.545
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.007
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 head0.053
GPT teacher head0.381
Teacher spread0.329 · 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; both teacher heads agree on what is shown here.

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

Citations10
Published2020
Admission routes2
Has abstractyes

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