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Record W2057609859 · doi:10.1080/01421590400019542

Medical students’ perceptions of an undergraduate research elective

2004· article· en· W2057609859 on OpenAlexaff
Robyn L. Houlden, Jamila B. Raja, Christine Collier, A.F. Clark, Jennifer M. Waugh

Bibliographic record

VenueMedical Teacher · 2004
Typearticle
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedical educationPerceptionCurriculumMedical schoolPsychologyMedicineElective surgeryPedagogy

Abstract

fetched live from OpenAlex

Recent years have seen a steady decline in the number of new physician-investigators (Association of American Medical Colleges, 2000). To encourage medical students to select research careers, the Queen's University Faculty of Health Sciences curriculum includes a mandatory Critical Enquiry elective in the 2nd year. An anonymous written survey was administered to medical students before and after the elective to determine their perceptions of the value of the elective and its impact on their decision to pursue a career in medical research. There was a significant increase in the number of students expressing an interest in pursuing a research career following the elective (35-42%, p = 0.029). Students recognized other benefits including the development of critical appraisal, information literacy, and critical thinking skills; and the opportunity to select an area of and form contacts for postgraduate training. Even students who choose not to pursue careers in medical research perceive benefits to a mandatory undergraduate research elective.

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)0.005
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.995
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.185
GPT teacher head0.557
Teacher spread0.372 · 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.

Study designQualitative
DomainIncentives
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

Citations250
Published2004
Admission routes1
Has abstractyes

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