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Record W2184659866

Publication productivity by family medicine faculty: 1999 to 2009.

2012· article· en· W2184659866 on OpenAlexaff
Robert E. Post, Tyson J. Weese, Arch G. Mainous, Barry D. Weiss

Bibliographic record

VenuePubMed · 2012
Typearticle
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsCentre for Family Medicine
Fundersnot available
KeywordsPublishingMedicineFamily medicineConfidence intervalBibliometricsDemographyGerontologyLibrary scienceInternal medicinePolitical scienceSociologyLaw
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: Scholarly work is an important part of all medical specialties. A decline in publications by academic family medicine faculty during the 1990s was documented. The purpose of this study was to compare the publication productivity of family medicine academicians during the 2000s to that in the 1990s. METHODS: A random sample of 1,500 individuals was drawn from the 2009 Society of Teachers of Family Medicine (STFM) membership. We then performed a PubMed search to identify publications by each of the subjects for the year 2009. Publications by STFM members in 1999 were identified from results of a previous study. We then compared differences between 1999 and 2009 in the percentage of STFM members publishing papers, the number of published papers per member, and the number of journals in which publications appeared. RESULTS: The percentage of STFM members publishing at least one article increased from 8.5% (95% confidence interval [CI]=7.2%--10.0%) in 1999 to 20.9% (95% CI=18.9%--23.0%) in 2009. The mean number of publications by those who published increased from 1.73 (95% CI=1.68--1.78) to 2.22 (95% CI=2.13--2.31). STFM members were 2.85 (95% CI=2.29--3.55) times more likely to publish at least one paper in 2009 than in 1999. Publications appeared in 202 different journals in 2009 compared to 75 in 1999. CONCLUSIONS: A higher percentage of family medicine academicians published papers in 2009 than in 1999. There were also more papers published per individual, and publications appeared in a wider range of journals.

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)0.004
metaresearch head score (Gemma)0.058
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
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 score0.755
Threshold uncertainty score0.950

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.058
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.242
GPT teacher head0.423
Teacher spread0.181 · 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 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

Citations21
Published2012
Admission routes1
Has abstractyes

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