Notice bibliographique
Résumé
This is part of a memoir that was not intended as a neurological journal contribution but it has so evolved.My theme, if there has truly been one, was to point out to those who would aspire to a long medical career, if lucky, energetic and dedicated, they may look forward to a life filled with interest, not the least of which are encounters with both patients and discoveries of great interest, but also of remarkable people, some in a great variety of strange places.Some who are featured were encountered during professional commitments, others with family.For convenience they will be dealt with geographically rather than temporally.I will begin this part by discussing personalities and discoveries from Canada, plainly best known to me.Joey Smallwood led Newfoundland and Labrador away from its 400 centuries of British colonial exploitation to become Canada's tenth province (almost 100 years after the others had joined together).He was a man who wished to present himself as a "peoples' person".In 1964 Kay and our four children went on a camping trip that took us across the width of our new province on the barely completed transcontinental highway from Cornerbrook to St. John's.We spotted the famous man entering the government office building: "How would you kids like to meet a famous Canadian?"His secretary was somewhat taken aback with the request but he came out from his "Oval Office" to greet effusively six moderately dowdy campers, one (Ian) still smeared here and there with the lime dust provided for use in the nearby campsite's outdoor privy.To our delight the friendly Joey, shook hands all around and then apologizing that he had a busy schedule, went back inside.If charisma trumps other qualities in a politician he had his share.Smallwood decided that a country consisting of scores of fishing outports scattered along its lengthy and tortuous coastline connected to each other only by ships, could never provide reasonable educational or medical care facilities.With his usual energy and initiative he set out a plan to consolidate the population, discouraging the persistence of tiny but truly isolated communities.In this 1964 camping excursion we were witness to whole houses being transported on barges pulled by tug-boats in the Straits of Belle Isle as part of this resettlement.In 1965 I served part of a summer as a volunteer physician on the Grenfell Outport Hospital Ship, based at St. Anthony at the tip of the Northern Peninsula.We weathered rough seas in storms, and in fog watched for icebergs.We were several days fog-bound in Red Bay, Labrador.One evening the fog abruptly lifted: "Hey, Doc, how would you like to bring your son and we will go to Black Duck (population=2).It's 20 miles and the sun does not set until 11.The old man there has a sealing gun you might buy."
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 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,964 | 0,944 |
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 ».