In memory of Dr Eric Revue
Bibliographic record
Abstract
It is with profound sadness that we announce the sudden passing of our dear colleague, Dr. Eric Revue. This tribute aims to honor his legacy and reflect on the immense impact he had on emergency medicine. A dedicated and passionate emergency physician Eric was more than just an emergency physician, he was a deeply committed and passionate advocate for patient care. Throughout his career, he led multiple emergency departments in France, including his role as Head of the Emergency Department and Prehospital Medical Services (SMUR, SAMU of Paris) at Lariboisière Hospital, APHP, in Paris. His work encompassed a wide range of areas including toxicology, disaster medicine, trauma, and Emergency Department management. Eric authored and coauthored research papers that significally impacted emergency medicine practice. He approached every challenge with determination, vision, and unwavering compassion for both his patients and his colleagues. He also influenced generations of physicians. More than a leader, he was a mentor and a model. He had a profound and lasting impact on those who worked alongside him, always ready to share his knowledge, support his team, and guide younger physicians with humility and wisdom. Many of them carry forward not just his teachings, but also his values and his spirit of dedication. A cornerstone of the European emergency medicine community and European Society for Emergency Medicine As an early and passionate supporter of the European Society for Emergency Medicine (EUSEM), Eric played a pivotal role in shaping the future of prehospital and emergency care in Europe. He served as Chair of EUSEM’s Prehospital Section and as Co-Chair of the Clinical Practice Committee of the International Federation for Emergency Medicine, extending his influence well beyond European borders. Eric was a digital pioneer, recognizing the power of social media to connect professionals. He founded EUSEM’s first social media group and launched the EUSEM Facebook page, now home to over 22 000 members sharing ideas and supporting one another globally. He was also a committed member of the Scientific Committee of the French Society of Emergency Medicine until 2024 and served on the Editorial Boards of the Turkish Journal of Emergency Medicine and the Canadian Journal of Emergency Medicine. He traveled relentlessly around the world to advocate for emergency medicine, sharing knowledge and building bridges between professionals and cultures. His natural curiosity and love for discovering new cultures made him a cherished presence in the global community. He counted friends and collaborators across continents, he was a true ambassador for the field. A particularly moving moment of his leadership was when he led the opening ceremony of one of the latest EUSEM’s congresses. It was a fitting tribute to his longstanding commitment and the widespread admiration he earned. A personal and professional loss Beyond his professional achievements, Eric was a beloved family man, friend, and colleague. He was known for his radiant smile, warm heart, and boundless energy. In times of stress, he brought light; in moments of pressure, he brought laughter. He had a unique gift for making everyone around him feel seen, heard, and truly appreciated. Eric also had a flair for celebration. At congress gala dinners, he was often the first on the dance floor and the last to leave it. His dancing was full of joy and infectious enthusiasm, drawing others in and transforming professional events into unforgettable moments of connection. His singing, whether spontaneous or shared during social gatherings, added a warmth and humor that only he could bring. His favorite karaoke song was Dancing Queen, and now, whenever that song plays, his friends across the globe think of him with fondness. These were not just entertaining moments, but reflections of the love and joy he brought into every relationship. Eric’s sudden passing leaves a profound void, not only in his department but in the hearts of all who had the privilege to know him. His memory will live on through the community he built, the lives he touched, and the passion he so generously shared. We express our deepest gratitude for Eric’s extraordinary contributions. His legacy will continue to inspire us all. Our thoughts are with his wife Isabelle, his daughters Helena and Clara, and all his family and loved ones during this profoundly difficult time. Acknowledgements Conflicts of interest There are no conflicts of interest.
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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 | 0.002 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.007 | 0.018 |
| Insufficient payload (model declined to judge) | 0.046 | 0.033 |
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".