Bibliographic record
Abstract
Medical students participating in Dalhousie Medical School's Art in Medicine project have put together their fourth annual exhibition, called XXX. The show features artwork from about 25 medical students that explores the theme of sexual dysfunction. The opening reception for the exhibition will be held in the main foyer of the Sir Charles Tupper Medical Building on April 18 at 6 p.m. The show will run until May 5. The goal of the project is to allow medical students to learn about medicine in an alternative way. We have tried to choose themes for our shows that allow us to explore topics that have a broad range of medical, personal and social issues. This year's theme of sexual dysfunction fits those requirements perfectly. We have chosen the title XXX to portray something taboo or forbidden. We feel that sexual dysfunction is an important medical issue that most people are able to laugh about, but few are able to talk about seriously. This project allows us, as future medical practitioners, to face an important subject with thoughtfulness and to demonstrate to the public that we are comfortable addressing this issue. From year to year, the students' artworks have focused on the patient as a whole person, elucidating issues that sometimes get swept under the clinical carpet. This year is no different. — Jonah Samson, Class of 2002, Dalhousie University, Halifax
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.387 | 0.084 |
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".