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Record W3038002937 · doi:10.1177/1028315320932321

Tertiary Education in Mauritius: Increasing Access Through International Program and Provider Mobility

2020· article· en· W3038002937 on OpenAlexaff
Jane Knight, Shaheen Motala‐Timol

Bibliographic record

VenueJournal of Studies in International Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHigher educationIncentiveEconomic growthInternational educationAccess to Higher EducationPrivate sectorPolitical scienceBusinessPublic relationsEconomics

Abstract

fetched live from OpenAlex

Mauritius is an informative and interesting success story for increasing access of local students to tertiary education through international program and provider mobility (IPPM). This article provides a brief background on the public and private tertiary education system in Mauritius and highlights the national plans, policies, and incentives used to promote and regulate the growth of IPPM during the last two decades. IPPM enrollments doubled from 2005 to 2017 while the number of students going abroad for degrees decreased. In 2017, 35% of all students enrolled in tertiary education in Mauritius did so through IPPM. This is among the highest in the world. Favored IPPM modes include branch campuses, franchise arrangements, and distance education. The article discusses the benefits, risks, and challenges facing Mauritius in its attempt to optimize access to higher education through IPPM and to establish itself as a regional education hub. International education scholars, planners, leaders, and policy analysts will benefit from the lessons learned by Mauritius.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.203
Threshold uncertainty score0.465

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.077
GPT teacher head0.473
Teacher spread0.396 · 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 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

Citations22
Published2020
Admission routes1
Has abstractyes

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