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Record W2211468188

Family medicine as a career option: how students' attitudes changed during medical school.

2007· article· en· W2211468188 on OpenAlexaffabout
Cheri Bethune, Penelope A. Hansen, Diana Deacon, Katrina Hurley, Allison Kirby, Marshall Godwin

Bibliographic record

VenuePubMed · 2007
Typearticle
Languageen
FieldMedicine
TopicMedical Education and Admissions
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsCurriculumMedical schoolMedical educationClass (philosophy)Career PathwaysMedicineFamily medicinePsychologyPedagogyComputer science
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To track and describe career choice decisions of medical students as they progressed through their undergraduate training. DESIGN: Quantitative survey of each class at 5 points during their undergraduate experience. Each survey collected qualitative descriptors of students' current career choices. SETTING: Faculty of Medicine at Memorial University of Newfoundland in St John's. PARTICIPANTS: Undergraduate medical students in each year from 1999 to 2006. MAIN OUTCOME MEASURES: Number of students considering family medicine as a career option at 5 different data-collection points throughout the medical school curriculum. RESULTS: Many students considered family medicine as a career choice early in their undergraduate experience. The number of students considering family medicine dropped significantly during the second year of the curriculum. This trend was consistent across all students surveyed. Although interest in family medicine as a career rebounded later in the curriculum, it never fully recovered. CONCLUSION: A large percentage of medical students considered family medicine as a career choice when they entered medical school. The percentage dropped significantly by the end of the second year of training. Attention should be directed toward understanding how the undergraduate medical curriculum in the first 2 years can protect and cultivate interest in family medicine as a career choice.

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)0.002
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.390
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.083
GPT teacher head0.369
Teacher spread0.285 · 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

Citations38
Published2007
Admission routes2
Has abstractyes

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