In Memoriam: Jules Hardy, 1932 to 2022
Notice bibliographique
Résumé
Dr Jules Hardy, circa 1980. Courtesy of Mr VeraHardy-Marino. Consent to publish was obtained.During the past century, we have witnessed the amazing advances of our extraordinary specialty of neurological surgery. Much of this has been the result of several cherished leaders who gave us new horizons as our specialty progressed. Among the foremost of these great pioneers was Jules Hardy of Canada, who passed away at the age 90 years in October 2022 (Figure). He was born in Sorel, Quebec, in 1932. His high school education in Montreal was followed by intense study of classical humanities with the Jesuits, and he was fascinated by the ideas of Thielhard de Chardin, a famous Archeologist, Philosopher, and Theologian. In 1956, he received an MD cum laude at the University of Montreal, after which he became the Director of the Neurosurgery program there (1979-1988). His neurosurgical training began with Claude Bertrand at the Notre Dame Hospital, University of Montreal. He also studied and experimented in neurophysiology with Herbert Jasper at the Montreal Neurological Institute. Subsequently, a fellowship from the McLaughlin Foundation led him to Paris to study stereotactic neurosurgery and pituitary surgery with Gerard Guiot, who was a pupil of Norman Dott of Edinburgh. When Dr Hardy returned to Montreal, he introduced many important innovations, including the use of intraoperative radio fluoroscopy and most importantly the incorporation of the surgical microscope, which then began to be widely used in the modern use of trans-sphenoidal surgery for pituitary tumors. These advances resulted in his discovery and identification of pituitary microadenomas, which could be successfully removed without damage to the normal pituitary gland. This concept of the “selective adenomectomy” was the key operative strategy that results in the surgical cure of functional adenomas with preservation of pituitary function that remains with us today. This began the trans-sphenoidal era of microscope assisted removal of pituitary lesions, with markedly improved accuracy, operative results, and outcomes for his patients. His thorough and elegant methods were presented and widely applied beginning in the late 1960s and were rapidly used by neurosurgeons in North America, Europe, and later throughout the world. Dr Hardy shared freely of his wisdom and skill as attested by his numerous residents, fellows, and learners from all over the world, and he was a staunch member of the International Society of Pituitary Surgeons. His many honors (Table) are testament to the importance and scope of the intellect and expertise he developed to modernize not only pituitary surgery but also to enlighten many aspects of pituitary endocrinology. TABLE. - Dr Hardy's Lifetime Honors 1974—Received the order of merit for sciences and health from the government of Lebanon 1978—Queen Elizabeth II Silver Jubilee Medal 1979—Honorary doctorate from the University of Guadalajara in Mexico 1983—Professeur itinerant du Commonwealth britannique 1987—Officer of the Order of Canada 1987—Commandeur de l’Ordre de Rio Branco—Brazil 1989—Knight of the National Order of Quebec 1989—Recipient of the Prix Léo-Pariseau 1989—Recipient of the Prix Izaak-Walton-Killam 1997—Medal of Honor, World Federation of Neurosurgical Societies 2007—Schloffer Award, Vienna Modified from wikipedia.com, “Jules Hardy: Honors,” under CC BY-SA 3.0, courtesy of Dr Mohr. Dr Hardy had a brilliant career, developing new paradigms, new techniques, new concepts, and giant advances in understanding the complexity, diagnosis, and management of the “master gland” and its disorders. He did this with the support of his loving family, his colleagues, students, and his many patients. To know him and to learn from him was unforgettable. He was one of the great pioneers of neurosurgery and a truly iconic role model for others who strive for and achieve continuing progress in our endeavors.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,025 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,004 | 0,010 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,052 | 0,044 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».