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Record W7056147816

Discourses of Intercultural Understanding in Ontario French as a Second Language Curricula

2024· other· en· W7056147816 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2024
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumIndigenousCritical discourse analysisDiscourse analysisSecond languagePower (physics)First languagePower structure
DOInot available

Abstract

fetched live from OpenAlex

This study examines the discursive underpinnings of the 2013/2014 Ontario French as a Second Language (FSL) curriculum and associated documents. The primary aim of the study was to understand the orientation of the curriculum text to culture through the lens of an anti-racist and anti-colonial critical framework. This study employed critical discourse analysis that balanced structural and poststructural approaches to analysis to examine the sociopolitical and historical contexts of the documents, the material construction of discourses, and the ordering of discourses. The key findings of the study include the tendency of the FSL documents to perpetuate myths that glorify Canadian nationalism, reinforce established racial hierarchies that treat Indigenous nations as inferior to Francophones, encourage cultural generalizations and tokenism, and sanitize the violence of settler-colonialism. These findings suggest the importance for educators to engage with critical stances like culturally sustaining pedagogies to critique and question dominant power structures in FSL programming.

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)0.004
metaresearch head score (Gemma)0.008
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 score0.115
Threshold uncertainty score0.831

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0160.011
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.193
Teacher spread0.181 · 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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueYork University Digital Library (York University)→Same topicMagnetic confinement fusion research→French-language works237,207→