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Record W2500089834

Moving Beyond Cultural Inclusion Towards a Curriculum of Settler Colonial Responsibility: A Teacher Education Curriculum Analysis

2012· dissertation· en· W2500089834 on OpenAlexaboutno aff
Susanne Waldorf

Bibliographic record

VenueTSpace (University of Toronto) · 2012
Typedissertation
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumInclusion (mineral)PedagogyColonialismPolitical scienceSociologySocial scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

Critical Indigenous scholars and their explicit allies have emphasized the need for curriculum and pedagogy in teacher education to address settler colonialism in Canada (Cannon, forthcoming(a); Cannon and Sunseri, 2011; Dion, 2009; Friedel, 2010a; Haig-Brown, 2009; Schick, 2010; Schick and St. Denis 2003, 2005; & St. Denis, 2007) . This thesis is primarily concerned with the existence of and possibilities for such a curriculum. In this thesis, I analyzed the curricula used in the three required courses of the secondary consecutive Initial Teacher Education (ITE) program in the 2011-2012 year at OISE for representations of settler colonialism in Canada. This study finds that while the curriculum in the ITE program at OISE focuses broadly on social justice, it shies away from addressing the ways that Canadians are complicit in ongoing colonialism. The thesis ends by highlighting some clear possibilities and challenges for a curriculum of settler colonial responsibility.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.962
Threshold uncertainty score0.637

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0070.005
Scholarly communication0.0080.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.330
Teacher spread0.318 · 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 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
Published2012
Admission routes1
Has abstractyes

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