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Record W7065669245

Ethical wayfinding in decolonizing child and youth care education

2022· dissertation· en· W7065669245 on OpenAlexaboutno aff

Bibliographic record

VenueSummit (Simon Fraser University) · 2022
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsnot available
Fundersnot available
KeywordsComplicityAgency (philosophy)IndigenousDecolonizationColonialismEthnographyNarrativeConversationMetisReading (process)Foregrounding
DOInot available

Abstract

fetched live from OpenAlex

In response to the Calls to Action from the Truth and Reconciliation Commission (2015), post-secondary institutions across Canada are attempting to decolonize and Indigenize their pedagogies and curriculum, while also grappling with the ongoing colonial nature of education. This dissertation is motivated by my own experiences of being unsettled by my complicity in the reproduction of settler colonialism within Child and Youth Care (CYC) education. Utilizing wayfinding as methodology, I offer accounts of my attempts to navigate the material-discursive landscapes of decolonizing CYC education, my own ethical entanglements in my daily practice as a CYC educator, and my actions and intentions toward decolonizing my field of praxis. Reading posthumanist and Indigenous philosophies in conversation with each other, I examine the ways coloniality is deeply embedded in the CYC curriculum, and how posthumanist and Indigenous philosophies can work together in support of decolonizing CYC education. Through this process, I hope to invite readers into their own wayfinding journeys within decolonizing CYC education in ways that resist stability and certainty, and emphasize instead the urgency, possibility, and agency of our individual and collective responsibilities in decolonizing education.

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 categoriesScience 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 score0.782
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.266
Teacher spread0.254 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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