MétaCan
Menu
Back to cohort
Record W1988313253 · doi:10.15273/dmj.vol29no1.4314

Attitudes and Expectations of Graduating Canadian Medical Students Toward Their Future - Step 1: Dalhousie University Medical School

2001· article· en· W1988313253 on OpenAlexaffvenueabout
Crispen Gray Richards

Bibliographic record

VenueDalhousie Medical Journal · 2001
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedical educationMedical schoolProcess (computing)PsychologyPoint (geometry)MedicineComputer science

Abstract

fetched live from OpenAlex

With the ongoing climate changes in Canadian medical practice, there is some concern that this country will be unable to provide the potential lifestyles that its future physicians will demand. This study aims to take the first step in the process of gathering information on the attitudes and expectations of graduating Canadian medical students for the purposes of developing a basis against which to compare predictions for the future. Dalhousie University was used as the starting point for this study and numerous insights were gained into the factors that influence the decisions made by the students at that school. The next logical step is to apply the survey to graduating classes at all Canadian medical schools. It is hoped that the knowledge gained from this survey about the expectations of Canadian medical students can be compared both to current working conditions for practicing physicians and to predicted future practice patterns. Addressing discrepancies between expectations and realities will improve retention and career satisfaction among Canadian physicians.

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)0.005
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, 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 score0.423
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0260.000

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 head0.031
GPT teacher head0.382
Teacher spread0.351 · 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

Citations0
Published2001
Admission routes3
Has abstractyes

Explore more

Same venueDalhousie Medical JournalSame topicGlobal Health Workforce IssuesFrench-language works237,207