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Record W7073528883

Retention of specialist physicians in Newfoundland and Labrador

2009· other· en· W7073528883 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2009
Typeother
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsMemorial University of Newfoundland
FundersCanadian Institutes of Health ResearchMemorial University of NewfoundlandNewfoundland and Labrador Centre for Applied Health Research
KeywordsCohortCohort studyMEDLINEPublic healthCohort effectSpecialtyRetrospective cohort study
DOInot available

Abstract

fetched live from OpenAlex

Background: Specialist physicians make up nearly half of the physicians practicing in Newfoundland and Labrador (NL) but very little is known about them. -- Methods: We examined registration data from NL to form cohorts of specialists initially licensed between 2000 and 2004 (cohort I) and between 1993 and 1997 (cohort II) and followed them up to 2007. -- Results: By the end of follow-up, 50.6% of specialists in cohort I were still practicing in the province (median time 66 months) and 15.6% from cohort II were still practicing in the province (median time 35 months). Survival analysis indicated that Memorial University medical graduates (MMGs) were more likely than other groups to remain in NL. Large proportions of specialists in our samples were non-certified and provisionally-licensed. -- Interpretation: Memorial University is a substantial contributor to specialist physician supply in NL. Increased recruitment of MMGs may improve long-term retention.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.165
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.040
GPT teacher head0.225
Teacher spread0.186 · 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