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Record W2741907801

The proposal for a third medical school in New Zealand: a community-engaged graduate entry medical program.

2017· article· en· W2741907801 on OpenAlexaff
Ross Lawrenson, G. Ian Town, Roger Strasser, Sarah Strasser, Judy McKimm, Rees Tapsell, Nigel Murray

Bibliographic record

VenuePubMed · 2017
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsNOSM University
Fundersnot available
KeywordsWorkforceDisadvantagedMedicineGeneral partnershipEconomic shortageScope (computer science)Medical educationMedical schoolCommunity healthNursingEconomic growthPublic healthPolitical science
DOInot available

Abstract

fetched live from OpenAlex

New Zealand has a maldistributed workforce that is heavily dependent on recruiting international medical graduates. Shortages are particularly apparent in high needs communities and in general scope specialties in provincial regions. The University of Waikato in partnership with the Waikato District Health Board has proposed a third medical school for New Zealand which will concentrate on addressing the workforce needs of disadvantaged rural and provincial communities. The proposed program is a community engaged, graduate entry medical course.

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)0.006
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.059
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.002
Bibliometrics0.0010.000
Science and technology studies0.0060.002
Scholarly communication0.0040.002
Open science0.0020.005
Research integrity0.0170.016
Insufficient payload (model declined to judge)0.0260.008

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 head0.136
GPT teacher head0.452
Teacher spread0.316 · 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 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
Published2017
Admission routes1
Has abstractyes

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