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Expanding Access While Narrowing Outcomes

2017· book-chapter· en· W2615185957 on OpenAlexaff
Grace Karram Stephenson, Shakina Rajendram

Bibliographic record

VenueAdvances in educational marketing, administration, and leadership book series · 2017
Typebook-chapter
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsKuala lumpurCognitive reframingEthnic groupPopulationMathematics educationPedagogyComputer sciencePsychologyPolitical scienceSociologyBusinessMarketingSocial psychology

Abstract

fetched live from OpenAlex

As Malaysia attempts to expand access for their minority groups using international branch campuses (IBCs), the IBC emphasis on developing students into tech-savvy, English-speaking, business leaders is leading to divisions based on language and ability that present new accessibility challenges. This chapter draws on the findings from a qualitative study conducted at three IBCs in the greater Kuala Lumpur area of Malaysia to understand how IBCs both facilitate and obstruct access to higher education for Malaysia's diverse population, and to reframe how access is understood in an area of cross-border higher education. This study found that: a) the instructional approach used in the business degrees at Malaysia's IBCs provides a very different pedagogical experience for students compared with the forms of instruction at their secondary schools; b) the new English-only, group-based learning highlights students' ethnic and linguistic differences; and c) students' successful transition to the surrounding business sector depends on their ability to acquire skills offered at the IBC.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.917
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0010.004
Open science0.0010.000
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 head0.108
GPT teacher head0.388
Teacher spread0.280 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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