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Record W3033696551 · doi:10.7459/es/38.1.02

Interculturality in Teacher Education in Times of Unprecedented Global Challenges

2020· article· en· W3033696551 on OpenAlexaffabout
Sarah Amsler, Jeannie Kerr, Vanessa Andreotti

Bibliographic record

VenueEducation and Society · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsUniversity of British ColumbiaUniversity of Winnipeg
Fundersnot available
KeywordsInterculturalityModernitySociologyPoliticsOntologyFace (sociological concept)PedagogyEpistemologyEnvironmental ethicsEngineering ethicsSocial sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

As societies face unprecedented challenges that are global in scope and “more-than-wicked” in nature, educators and educational policy makers emphasize the importance of deepening knowledge about the causes of these problems, creating policies to address them more efficiently, and offering more compelling moral arguments that might persuade people to change their convictions, and ‐ as a consequence ‐ their behaviour. These concerns shape how policies on the study of interculturality are approached in contemporary teacher education in our contexts in Canada and the UK. Our research, however, positions these as problems that cannot be solved with improved information, enhanced cross-cultural skills, or moral claims, because they are rooted in modernity’s systems, which structure the possibilities for co-existence on the planet. We see these problems as ontological challenges of being that emerge from a modernist ontology rooted in colonial violences. Our approach therefore explores an orientation to intercultural education which enables student teachers to expand their understanding of cultural and ecological relationships beyond existing frameworks of modernist knowledge, politics, and economic systems. In this paper, we share some of our current learning about the affordances and limitations of dominant approaches to intercultural education, and then explore how the method of “social cartography” can enable engagement with ontological problems in teacher education in a way that generates possibilities for imagining decolonial learning futures, beyond modernity.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.259
Threshold uncertainty score0.935

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.038
GPT teacher head0.374
Teacher spread0.336 · 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

Citations21
Published2020
Admission routes2
Has abstractyes

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