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Record W2954402321 · doi:10.1163/25902539-00102010

Canadian Literacy Curricula in Macau, China: Students’ Lived Curriculum

2019· article· en· W2954402321 on OpenAlexaffabout
Zheng Zhang

Bibliographic record

VenueBeijing international review of education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsWestern University
Fundersnot available
KeywordsCurriculumLiteracyMulticulturalismPedagogyIdentity (music)SociologyContext (archaeology)Mathematics educationPsychologyGeographyArt

Abstract

fetched live from OpenAlex

This ethnographic case study documents students’ lived experience at a Canadian offshore school in Macau through students’ multimodal artifacts, interviews, and teacher-student interactions in English and Mandarin literacy classes. Undergirded by the theory of cosmopolitan literacies, this study revealed the opportunities at mcs for difference negotiation and fluid identity formation that were enabled by mcs ‘s curricular emphasis on celebrating multiculturalism and multimodality. However, interview and observation data showed that literacy practices in the English literacy classes also centered around pen to paper meaning-making. This study identified human and non-human actors that enabled and constrained students’ literacy and identity options in the unique cross-border education context in Macau, such as mcs's multicultural reality, school's curricular emphasis on celebrating multiculturalism and multimodality, individual teachers’ preferences in literacy practices, and the expectations of the standardized Alberta test. The paper discusses the pedagogical potentials of cosmopolitan literacies to expand transnational education students’ literacy and identity options.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.616
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.406
Teacher spread0.394 · 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 designObservational
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

Citations4
Published2019
Admission routes2
Has abstractyes

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