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Record W2950649782 · doi:10.1111/eje.12448

Graduate mobility: Where do dentistry graduates choose to practise?

2019· article· en· W2950649782 on OpenAlexaboutno aff
Arthi Veerasamy, Carolina Loch, Lee Adam, Paul Brunton

Bibliographic record

VenueEuropean Journal Of Dental Education · 2019
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsnot available
Fundersnot available
KeywordsGraduation (instrument)Medical educationQuarter (Canadian coin)International educationMedicineWork (physics)Higher educationPolitical scienceGeographyEngineering

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVE: The international higher education market has grown and developed rapidly. International students generate attractive income for host universities, and gaining an international education benefits students in an increasingly globalised world. However, there is little research regarding where international students intend to work and settle beyond graduation. This study investigated where dentistry students intended to practise after graduation, and whether international students who graduated between 2001 and 2016 are currently practising in their host country (New Zealand) or have migrated overseas. METHODS: A cross-sectional survey was used to investigate current students' intended destination of practice after graduation. Additionally, names of international graduates since 2001 were matched against the 2017 register of practitioners to determine if they were currently registered to practise in their host country. A frequency and bivariate analysis was conducted. RESULTS: Almost 64% of current international students indicated their intention to stay in their host country after graduation. However, only 22% of graduates since 2001 were currently practising in New Zealand. The number of international graduates who registered to practise in New Zealand increased between 2001 and 2016. CONCLUSION: Less than one-quarter of international graduates were currently practising in their host country; however, longitudinal data showed that this is an increasing trend. These findings can be used to inform how we might prepare current and future graduates for both local and globalised labour markets.

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)0.002
metaresearch head score (Gemma)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.008

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 head0.052
GPT teacher head0.433
Teacher spread0.381 · 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

Citations5
Published2019
Admission routes1
Has abstractyes

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