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Record W4200564842 · doi:10.5206/cieeci.v50i1.14539

Rethinking and Reinventing Intercultural Education in Post-Secondary Institutions: A Critical, Anti-Colonial Approach

2021· article· en· W4200564842 on OpenAlexaffvenueabout
Carrie Karsgaard

Bibliographic record

VenueComparative and International Education · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSociologyScholarshipInstitutionColonialismEquity (law)PedagogyCurriculumHigher educationCritical theoryCritical pedagogyInternationalizationIntercultural relationsPoliticsPolitical scienceSocial scienceIntercultural communicationLaw

Abstract

fetched live from OpenAlex

Critical and anti-colonial scholarship helps us imagine how intercultural education might begin to address the power imbalances inherent to issues of culture and epistemology. This paper reflexively dialogues anti-colonial theory with my own experiments of practically implementing these theories within the Intercultural Program (IP), an extracurricular program at a Canadian postsecondary institution, to demonstrate possibilities for shaping intercultural education towards ethical ends. Through curriculum, programming, and community-building that is cocreated with students, the IP aspires to shape intercultural education towards social justice and equity, opening spaces for engagement with nondominant epistemologies, and promoting the critical thinking necessary for evaluating the historical, economic, political, social, and ethical implications of students’ own and others’ positions. At the same time, the IP provides a helpful site for exploring the challenges of doing critical work in an internationalizing institution, and the need, perhaps, to move intercultural education away from internationalization within higher 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score0.426

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.140
GPT teacher head0.458
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 teacher head, 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

Citations3
Published2021
Admission routes3
Has abstractyes

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