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Record W1561406231

Block to succeed: the Canadian orthopedic resident research experience.

2009· article· en· W1561406231 on OpenAlexaffabout
Robert K W Chan, Jocelyn Lockyer, Carol Hutchison

Bibliographic record

VenuePubMed · 2009
Typearticle
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMentorshipMedicineAccreditationGraduate medical educationScholarshipCurriculumMedical educationProductivitySpecialtyFaculty developmentFamily medicineProfessional developmentPedagogySociologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: We assessed the current state of Canadian orthopedic resident research and the effect of protected block research time on the numbers of grants obtained, research projects completed, submissions for publication, publications and conference presentations. METHODS: We administered a 27-item cross-sectional survey containing quantitative and qualitative questions to postgraduate year (PGY)-3 to -5 residents in all 16 Canadian orthopedic training programs in the academic year of Jul. 1, 2005, to Jun. 30, 2006. RESULTS: There was an overall response rate of 45% (85/188) from residents in 15 of 16 orthopedic programs: 56% (48/85) of respondents took block research time of at least 1 month (mean 5 mo). The number of months taken was positively correlated with the number of grants obtained (r = 0.28, p = 0.011) and publications (r = 0.23, p = 0.031). Residents who took block time obtained more grants (Fisher exact test 3.54, p = 0.048) and publications (Fisher exact test 6.09, p = 0.012) than those who did not take block time. About 41% (35/85) of respondents said time was the biggest obstacle to research. CONCLUSION: Providing protected block research time during residency allows Canadian orthopedic residents greater research success.

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)0.006
metaresearch head score (Gemma)0.055
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.508
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.055
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.330
GPT teacher head0.472
Teacher spread0.142 · 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

Citations27
Published2009
Admission routes2
Has abstractyes

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