Bibliographic record
Abstract
From January 29th to February 1st, 2015, a group of University of Ottawa undergraduate students and I hosted an exhibit about the life and research of French physician Dr. Jérôme Lejeune, who in 1959 discovered Trisomy 21, the genetic origin of Down syndrome (DS). Considered the father of modern genetics, Dr. Lejeune believed medicine should serve the patient and not the disease. The exhibit focused on Lejeune’s profound humanity and compassion that accompanied his commitment to scientific truth. It also showed how this great scientist maintained an unshakeable adherence to his faith and conscience despite challenges and adversity. Du 29 janvier au 1er février 2015, un groupe d’étudiants au premier cycle universitaire ont organisé une exposition portant sur la vie et les travaux de recherche du médecin français Dr Jérôme Lejeune, qui en 1959 a découvert la trisomie 21, l’origine génétique du syndrome de Down. Dr Lejeune est considéré comme le père de la génétique moderne. Il croyait que la médecine devait se concentrer sur le patient et non seulement sur sa maladie. L’exposition a mis en valeur l’humanité et la compassion du Dr Lejeune en illustrant comment ce grand scientifique a su maintenir sa foi et ses croyances malgré les défis à relever.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.030 | 0.008 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.044 | 0.008 |
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".