Health care in Canada: Provinces versus the Federal Government
Notice bibliographique
Résumé
Transcript: Listen to today's Commentary Introduction: Who speaks best for health care: Paul Martin or the provincial premiers? Vivian McAlister is a transplant surgeon and a professor of surgery in London, Ontario. On Commentary, he says move over Ottawa..the provinces should take the lead in improving medicare. Vivian McAlister: During last month's election campaign Paul Martin set himself up as the saviour of medicare. He was reinforcing an old theme: that Ottawa must keep a close eye on the provinces lest they experiment - looking for different ways to provide health care. The prime minister conveniently ignored the fact that his 1995 budget that stripped billions of dollars from health care did more damage to the system than any province. Nor did he recognize that it's the provinces that are the truly creative force in the delivery of health care. I'm a doctor. I've worked in small and large hospitals in several provinces. Before I came to Canada, I practised in the British National Health system and in the Irish two-tier system. And I can tell you Canadian health care is second to none. We provide the best care to the most people, regardless of income or remoteness of residence, and it was the provinces that brought us here. Saskatchewan led the way with public health insurance. The portability and universal access provisions of the Canada Health Act ensure that provincially-delivered health care is practical in a modern Canada. Today portability allows patients to go from one province to another in search of the best medical care. The resulting competition among provinces provides a stimulus for continuous growth. When one province provides a new type of surgery or pays for a new treatment, other provinces are eventually forced to follow suit. It's the one difference that allows the Canadian system to succeed where the centralized British system has failed. The ironic result of the budget cuts of 1995 was to impose greater uniformity on the system. The loss of innovation was worse than the actual loss of funds. Mr. Martin's platform, now and at the next election, should be to facilitate health-care delivery by the provinces. The people of the provinces will deal with their own governments if the delivery is flawed. Canada's flaw is that the federal government collects the taxes that should be going to the provinces for health-care delivery. This anomaly restricts Ottawa's health care spending to trendy capital budgets and diverts money from desperately needed operating funds. Instead of imposing uniformity, why doesn't Ottawa enable the spending of revenues on health-care delivery that could spawn more innovation at the provincial level. It could help Ontario, for example, meet the challenge of its new health-care premium by offering a federal tax credit to offset the cost to individuals. In this way Mr. Martin might build his legacy by finding a way for provincialism to flourish in the Canadian confederation. It is, after all, how the Liberal Party started. For Commentary, I'm Vivian McAlister in London.
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 | 0,004 | 0,021 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,004 |
| Études des sciences et des technologies | 0,029 | 0,009 |
| Communication savante | 0,013 | 0,003 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,017 | 0,014 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,021 | 0,002 |
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 ».