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Record W2055459823 · doi:10.3109/10398561003739612

Familiarity Breeds Respect: Attitudes of Medical Students Towards Psychiatry Following a Clinical Attachment

2010· article· en· W2055459823 on OpenAlex
Lisa Lampe, Carissa Coulston, Garry Walter, Gin S. Malhi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAustralasian Psychiatry · 2010
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPsychologyPsychiatryMedicineMedical educationClinical psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: The aim of this paper was to examine the influence of a clinical attachment in psychiatry on medical students' attitudes to psychiatry as a specialty and potential career. METHOD: Medical students at Sydney Medical School were surveyed following an 8-week clinical attachment in psychiatry. Secondary analyses sought to identify associations with variables such as age, gender and level of clinical experience as a medical student. RESULTS: Following a clinical attachment in psychiatry, 80% of students rated their attitude to psychiatry as more positive. Approximately 32% rated themselves as likely or very likely to choose a career in psychiatry. No differences were seen with respect to gender, age or stage of training. The quality of the teaching, enthusiasm of the clinical teachers, the holistic approach and scientific basis of psychiatry were cited by students as factors influencing attitudes. CONCLUSIONS: The clinical rotation in psychiatry is a significant factor influencing medical student attitudes towards psychiatry.

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.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0020.000

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 head0.067
GPT teacher head0.525
Teacher spread0.457 · 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