Notice bibliographique
Résumé
When it comes to medicine, Dr. Sydney Segall takes the long view. The very long view. When the 85-year-old Montreal cardiologist started practising in 1950, there were no pacemakers, angiograms, defibrillators or cardiac care units. And MI patients were treated with 6 weeks of strict bed rest. “We do things differently now,” he says. Segall had his introduction to frontline practice in Normandy. As a medical officer who arrived in France right after D-Day, he witnessed first hand soldiers' shock, battle exhaustion and panic. “These were young kids who watched their friends getting blasted to bits. One sergeant had tremors and could barely talk, but insisted on going back to his unit. I had to decide whether to treat them or send them home. The majority I sent home.” Today, the condition would likely be diagnosed as post-traumatic stress disorder. In 1944, it was called battle fatigue. But while 5 intervening decades have brought dramatic changes to medicine, Segall sometimes gets a sense of deja vu. The waiting lists and bed shortages of 2002? In the '50s, says Segall, beds were tight and there were waiting lists from his first day in practice. The Jewish General Hospital in Montreal had 150 beds when he started practising there. It has 600 today, but the situation hasn't changed. “Even in 1950 it was very difficult to get a patient past the admissions officer.” Has medicare improved access to care? Perhaps, but Segall still remembers the cardiology clinics where patients got treated regardless of income, where doctors were expected to work pro bono, and where most obliged. Segall certainly did. As for his income before the introduction of medicare, Segall is philosophical. “I'd send out bills at the end of the month,” he says. “Those who couldn't pay — it didn't bother me that much.” Segall, who still works 3 days a week in a part of Montreal popular with immigrants and refugees, remembers his own lean years during the Depression when he had to “step out” of medical school at McGill and get a factory job to make ends meet. “I worked as a shipper. Eventually, the boss, the other shipper and the cutter all became my patients.” He also pounded the pavement selling dresses and vacuum cleaners, although he was “not particularly gifted at sales.” Cardiac catheterization was more his line. In 1948 he received a scholarship at the University of Chicago and became one of the first cardiologists to use the technique. At the time, some Canadian research linked heart disease to a diet high in animal proteins and eggs. “Everybody laughed,” says Segall. He would later coauthor a paper on fluctuating blood lipid levels in patients with hypercholesterolemia and coronary artery disease (CMAJ 1960;83:521-4). Recently, Segall made a long-distance phone call a bit too early in the morning. “I apologize from the bottom of my left ventricle,” he deadpanned. Whether it's his early ideas about preventing heart disease with a daily sherry and a joke, or about the dangers of high cholesterol levels, a half-century of practice has clearly given him not only the long view but the last laugh. — Susan Pinker, Montreal
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 | 0,001 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,006 | 0,003 |
| Communication savante | 0,006 | 0,009 |
| Science ouverte | 0,001 | 0,006 |
| Intégrité de la recherche | 0,008 | 0,018 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,055 | 0,025 |
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 ».