Prof. Philippe Godard, 1948–2011: Figure 1–
Bibliographic record
Abstract
We were deeply saddened by the death of Philippe Godard, a passionate physician, educator and mentor, a dedicated family man, and a loyal and beloved friend. Philippe was a dedicated and active European Respiratory Society (ERS) member who served as ERS Assembly Secretary, a member of the ERS Executive Committee and Chair of the ERS School consecutively from 1994 to 2000. Figure 1– Philippe Godard, 1948–2011. Philippe Godard's career shows a constant professional dedication to his role as physician, teacher and researcher. After his medical diploma, and under the guidance of his mentor Prof. Francois B. Michel, he trained in France and Canada and specialised in pulmonary medicine, obtaining both the specialty certification and his medical doctorate in 1978. He then worked at the Faculty of Medicine of Montpellier (France), first at Aiguelongue, then at Arnaud de Villeneuve Hospitals and at INSERM (the French research centres). He also worked briefly in the USA, at Harvard University (Cambridge, MA), with Frank Austin. As Philippe used to say himself, his years of professional activity were intense, exciting and rewarding. His keywords were education, research and care. Philippe loved his job as a clinician, as it embodied a social dimension that has largely developed into “community work” at a national and international level. …
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.166 | 0.124 |
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".