Bibliographic record
Abstract
Medical ReminiscencesNB as has been said in different contexts,recollections may differ but the followingare my memoriesTell us a little of your time as a student atGlasgow University.I was a medical student at GlasgowUniversity from 1957-1963. My memory isthat the proportion of women in the yearwas restricted to 1/3 of the 160 students inthe year. The six year course allowed us timefor long student vacations which I used tothe full; travelling one year to work as aclinical clerk in Copenhagen and anotheryear with the National Union of Studentswhen 20 of us went as a student delegationto Russia visiting Moscow Leningrad andKiev. Fascinating insights into Russianmedicine and state control.I enjoyed a full student life being involved inthe students union. At that time there wereseparate unions for men and women: QueenMargaret for women and the Union for men.We mixed very comfortably after 5pm andstudent union debates were a highlight. Itwas a golden age of student politics andstudent debates with gifted orators such asDonald Dewar, John Smith, Neil McCormickand Jimmy Gordon sharpening their skills.Tell us a little of your career and why youchose the specialty you did.I chose dermatology and in particular workon malignant melanoma because of apatient I encountered doing my surgicalpre registration house officer post. Mr Xwas a Pakistani seaman who had beenadmitted because of secondary melanomaerupting in nodules all over his left legfrom toe to thigh but with no obviousspread beyond the inguinal ligament. Mr Xspoke no English and interpreters were notavailable. It was very clear that thesurgeons in charge of the ward did notknow how to manage the problem or howto communicate with the patient. This tookme to general study of melanoma and itstreatment, to tumour immunology and topatient support and communication.Can you share some of highlights of yourcareer?60 years on we know a lot more aboutappropriate treatment of melanoma andstaging procedures. We are now muchmore aware of the need for patientsupport and information with supportgroups for most skin diseases egMelanoma Action, the PsoriasisAssociation and the national EczemaSociety; all groups who offer accurateinformation to patients and also raisefunds for research.From 1978-2000 I was professor ofdermatology and established aninternationally recognised departmentwhich attracted trainees from overseas Canada, Australia and New Zealand. What would you say to your medicalstudent self?I would continue to encourage myselfto take full advantage of the freedomof student years and travel widely. Youwill never be so free again.What would you say to the medicalstudents today?The current situation for students isvery different. I would howeverencourage them to try to take part inuniversity wide events and societiesand not confine themselves to medicalschool activities. Clerkships andelectives overseas give valuable insightinto the organisation of medical careelsewhere.And enjoy yourselves
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.079 | 0.034 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".