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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 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)0.001
metaresearch head score (Gemma)0.001
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 score0.047
Threshold uncertainty score0.344

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0140.003
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 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

Citations4
Published2019
Admission routes2
Has abstractyes

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