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Enregistrement W1587947208

Field of Dreams: Strengthening Health Policy Scholarship in Canada

2008· preprint· en· W1587947208 sur OpenAlexaffabout
Julia Abelson, Mita Giacomini, John N. Lavis, John Eyles

Notice bibliographique

RevueRePEc: Research Papers in Economics · 2008
Typepreprint
Langueen
DomaineHealth Professions
ThématiquePrimary Care and Health Outcomes
Établissements canadiensMcMaster University
Organismes subventionnairesnon disponible
Mots-clésScholarshipHealth policyPolicy analysisPolitical scienceInternational healthPublic administrationField (mathematics)Policy studiesPublic relationsHealth carePublic policyLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

This background paper was prepared to inform discussion at CHEPA's Health Policy Symposium Field of Dreams: Strengthening Health Policy Scholarship in Canada on November 2, 2007. We reflect on the characteristics of Canada's health policy community in relation to the larger and more mature international health policy community: its contributions, opportunities and constraints for growing into a well institutionalized Canadian academic field. Sources consulted in preparing this document include: - Approximately 60 U.S. and Canadian graduate health policy course syllabi gathered between May and September 2007 - An inventory of over 40 active Canadian health policy research centres (university and non-university-based) - An investigation of the Canadian Institutes of Health Research (CIHR) researcher database to characterize the community of researchers who identify 'health policy' as an area of expertise - A Web of Science analysis of health policy journals, publications and citations between 1990 and 2006 - A selective review of Canadian health reform documents Characterizing the Field The terms 'health policy' and 'health policy analysis' often interchangeably refer to scholarship concerned with policy in the health sector. Clear, agreed upon definitions of either term are hard to find, and each has its drawbacks. 'Health policy analysis', often associated with research to inform health policy making, disregards some of the most important and interesting contributions to knowledge that arise from the analysis of policy. 'Health policy' is the favoured alternative, but unfortunately conflated with the very thing which is studied (health policies themselves and policy making). The field might be also be characterized by its exemplary and seminal literature, in search of its 'canon'. An examination of 35 Canadian and U.S. health policy course syllabi reveal a diverse array of teaching resources including texts, journal articles and grey literature with minimal overlap across courses. The over 40 assigned core texts comprise a mix of general policy and politics, health policy and politics, and content-specific texts. Descriptive and evaluative peer reviewed journal articles are drawn from 250 different journals though 20 core general medical and health policy journals are sources for 70% of these articles. Two texts -- Deborah Stone's Policy Paradox and Malcolm Taylor's Health Insurance and Canadian Public Policy – along with the final report of the Commission on the Future of Health Care in Canada and Hutchison, Abelson and Lavis' 2001 Health Affairs analysis of Canadian primary care reform are the most frequently assigned teaching resources. Health Policy Scholars The Canadian health policy community originated from a small group of disciplinary and interdisciplinary scholars based in a handful of research centres across the country. These academics applied training and expertise in primarily public health and epidemiology, economics, sociology and political science to address emerging health services problems. Today, this community has grown to include at least 30 university based health policy research centres specializing in population- and content-specific issues and is expanding its frontiers to include additional disciplines, fields and sub-fields such as management, law, history, geography, nursing. In the past, Canadian health policy educators tended to cluster in Faculties of Health Sciences but are now more evenly distributed across Faculties of Social Sciences, Law and in Schools of Business

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,052
score de la tête « metaresearch » (Gemma)0,082
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: Incitatifs · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,948
Score d'incertitude au seuil0,762

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0520,082
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0130,024
Études des sciences et des technologies0,0390,023
Communication savante0,0350,015
Science ouverte0,0070,021
Intégrité de la recherche0,0070,009
Charge utile insuffisante (le modèle a refusé de juger)0,0150,001

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.

Tête enseignante Opus0,088
Tête enseignante GPT0,461
Écart entre enseignants0,372 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeThéorique ou conceptuel
DomaineIncitatifs
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2008
Routes d'admission2
Résumé présentoui

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