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Record W2158515830 · doi:10.1503/cmaj.1031111

Career choice of new medical students at three Canadian universities: family medicine versus specialty medicine

2004· article· en· W2158515830 on OpenAlexafffundvenueabout
Bruce Wright

Bibliographic record

VenueCanadian Medical Association Journal · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsUniversity of CalgaryUniversity of British ColumbiaCalgary General Hospital
FundersUniversity of British ColumbiaUniversity of Calgary
KeywordsSpecialtyPrestigePreferenceLogistic regressionFamily medicineMedicineVariance (accounting)Medical schoolPsychologyMedical educationStatistics

Abstract

fetched live from OpenAlex

BACKGROUND: Over the last 10 years the number of medical students choosing family medicine as a career has steadily declined. Studies have demonstrated that career preference at the time that students begin medical school may be significantly associated with their ultimate career choice. We sought to identify the career preferences students have at entry to medical school and the factors related to family medicine as a first-choice career option. METHODS: A questionnaire was administered to students entering medical school programs at the time of entry at the University of Calgary (programs beginning in 2001 and 2002), University of British Columbia (2001 and 2002) and University of Alberta (2002). Students were asked to indicate their top 3 career choices and to rank the importance of 25 variables with respect to their career choice. Factor analysis was performed on the variables. Reliability of the factor scores was estimated using Cronbach's alpha coefficients; biserial correlations between the factors and career choice were also calculated. A logistic regression was performed using career choice (family v. other) as the criterion variable and the factors plus demographic characteristics as predictor variables. RESULTS: Of 583 students, 519 (89%) completed the questionnaire. Only 20% of the respondents identified family medicine as their first career option, and about half ranked family medicine in their top 3 choices. Factor analysis produced 5 factors (medical lifestyle, societal orientation, prestige, hospital orientation and varied scope of practice) that explained 52% of the variance in responses. The 5 factors demonstrated acceptable internal consistency and correlated in the expected direction with the choice of family medicine. Logistic regression revealed that students who identified family medicine as their first choice tended to be older, to be concerned about medical lifestyle and to have lived in smaller communities at the time of completing high school; they were also less likely to be hospital oriented. Moreover, students who chose family medicine were much more likely to demonstrate a societal orientation and to desire a varied scope of practice. INTERPRETATION: Several factors appear to drive students toward family medicine, most notably having a societal orientation and a desire for a varied scope of practice. If the factors that influence medical students to choose family medicine can be identified accurately, then it may be possible to use such a model to change medical school admission policies so that the number of students choosing to enter family medicine can be increased.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.991
Threshold uncertainty score0.659

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.042
GPT teacher head0.312
Teacher spread0.270 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations321
Published2004
Admission routes4
Has abstractyes

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