Response for Key Learnings and Perspectives of a Newly Implemented Sex-and Gender-Based Medicine Modular Course Integrated into the First-Year Medical School Curriculum: A Mixed-Method Survey [Response to Letter]
Bibliographic record
Abstract
Nicola Luigi Bragazzi,1–4 Hicham Khabbache,5 Khalid Ouazizi,6 Driss Ait Ali,6 Hanane El Ghouat,6 Laila El Alami,6 Hisham Atwan,7 Ruba Tuma,8–10 Nomy Dickman,10 Raymond Farah,10,11 Rola Khamisy-Farah9,10 1Human Nutrition Unit (HNU), Department of Food and Drugs University of Parma, Parma, Italy; 2Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, Toronto, ON, Canada; 3Postgraduate School of Public Health, Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy; 4United Nations Educational, Scientific and Cultural Organization (UNESCO) Chair, Health Anthropology Biosphere and Healing Systems, University of Genoa, Genoa, Italy; 5Director of the UNESCO Chair “Lifelong Learning Observatory” (UNESCO/UMSBA), Fez, Morocco; 6Department of Psychology, Faculty of Arts and Human Sciences Fès-Saïss, Sidi Mohamed Ben Abdellah University, Fez, Morocco; 7Department of Internal Medicine, Kaplan Medical Centre, Hebrew University, Rehovot, Israel; 8Department of Obstetrics and Gynecology, Galilee Medical Center, Nahariya, Galilee, Israel; 9Clalit Health Services, Akko, Israel; 10Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel; 11Department of Internal Medicine B, Ziv Medical Center, Safed, IsraelCorrespondence: Nicola Luigi Bragazzi, Human Nutrition Unit (HNU), Department of Food and Drugs University of Parma, Via Volturno 39, Parma, 43125, Italy, Tel +39 0521 903121, Email nicolaluigi.bragazzi@unipr.it
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.021 | 0.178 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".