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Record W4404991968 · doi:10.5206/cie-eci.v53i3.17233

The Portrayal and Branding of British Columbia Offshore Schools on Provincial Government Websites

2024· article· en· W4404991968 on OpenAlexaffvenueabout
Ian Alexander, Laura Werbitsky

Bibliographic record

VenueComparative and International Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCurriculumRationalization (economics)Government (linguistics)IndigenousPolitical scienceMedia studiesSociologyPublic relations

Abstract

fetched live from OpenAlex

This article examines how British Columbia (BC) portrays its offshore school program on its government websites. BC offshore schools currently operate in 11 countries, teaching the provincial curriculum to students from the local host country. Our critical discourse analysis of BC provincial government websites and videos shows that the curriculum is portrayed as a brand and the program’s rationales and goals are inconsistent. BC portrays its curriculum as a global brand that is more progressive, modern, and worldly than the countries that host offshore schools. However recent BC curriculum initiatives, such as Indigenous perspectives and knowledge, core competencies, and place-based learning are mostly absent from the discourses on the websites and videos. Based on these findings, we propose that BC revisit the rationalization for the offshore school program and how it is officially portrayed because the portrayal of curriculum as a branded product blurs the lines between public and private spaces.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score0.999

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 communication0.0010.000
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 head0.372
Teacher spread0.334 · 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 designNot applicable
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

Citations1
Published2024
Admission routes3
Has abstractyes

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