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Record W1778305621 · doi:10.1186/1472-6920-1-1

The Beginning of the Research Stream in Family Medicine Residency Program at McMaster University

2001· article· en· W1778305621 on OpenAlexafffund
Kaczorowski Janusz, S. Billings John, Walsh Allyn

Bibliographic record

VenueBMC Medical Education · 2001
Typearticle
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsMcMaster University
FundersMcMaster University
KeywordsMedical educationResidency trainingMEDLINEMedicineContinuing educationPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: To examine research background, attitudes, knowledge and skills of family medicine residents with regard to primary care research and to compare residents who elected to participate in the research stream with those who did not. METHODS: Mailed survey of Family Medicine residents at McMaster University in 1998, 70% (52/74) of whom responded. The main outcome measures consisted of research background; attitudes towards primary care research and research activities during residency program; knowledge and skills in applying it in biostatistics, epidemiology, and research design. RESULTS: The vast majority of the residents reported previous research experience and/or some training in epidemiology and biostatistics. Residents in the research stream were more likely to be female and were positive towards primary care research: they were more interested in research, more interested in obtaining more research training while a resident, and placed more importance on developing research early in medical education. The research stream residents had stronger views regarding perceived lack of support staff and lack of time for research. There were no statistically significant differences between the research stream and other residents in terms of research knowledge and skills in applying it. CONCLUSIONS: Attitudes towards research rather than research knowledge or skills seemed to distinguish those selecting to be in our new research stream at the inception.

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)0.007
metaresearch head score (Gemma)0.127
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.611
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.127
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.298
GPT teacher head0.523
Teacher spread0.225 · 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

Citations14
Published2001
Admission routes2
Has abstractyes

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