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Enregistrement W1994880763 · doi:10.1353/cpp.2010.0014

Successful Societies: How Institutions and Culture Affect Health (review)

2010· article· en· W1994880763 sur OpenAlexvenueaboutno aff
Lindsay McLaren

Notice bibliographique

RevueCanadian Public Policy · 2010
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueHealth disparities and outcomes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSociologyPopulationAffect (linguistics)PoliticsSocial sciencePolitical sciencePublic relationsLaw

Résumé

récupéré en direct d'OpenAlex

Reviewed by: Successful Societies: How Institutions and Culture Affect Health Lindsay McLaren Successful Societies: How Institutions and Culture Affect Health edited by Peter A. Hall and Michèle Lamont. New York: Cambridge University Press, 2009. This book is the product of the “successful societies” program at the Canadian Institute for Advanced [End Page 404] Research (CIFAR), which comprises a diverse group of social scientists (sociology, political science, history, epidemiology, and psychology) brought together by CIFAR to “think about what defines successful societies and the social conditions that sustain them.” This same organization (formerly known by the acronym CIAR) produced Why Are Some People Healthy and Others Not (Evans, Barer, and Marmor 1994), which was foundational to the population health movement in Canada and internationally. Though the two books are grounded in some of the same empirical observations (e.g., the social gradient in health), Successful Societies effectively builds on the earlier work by incorporating different but complementary disciplinary perspectives and emphases. The stated cross-cutting theme of Successful Societies is to explore the role of institutions and culture in producing (or detracting from) population health. “Institutions and culture” include a range of societal attributes such as administrative structures, social and economic models and programs, and cultural imaginaries (norms), which powerfully influence social relationships/resources and therefore health. Building on Sen’s capabilities theory, health (which is a function of the “wear and tear of daily life”) is viewed as dependent on one’s capacity to effectively negotiate life challenges. This capacity reflects not just material resources but also social resources (e.g., the ability to secure cooperation from others). These resources are not perfectly coupled, as suggested by the increasing number of outliers on the health-wealth graph (i.e., countries for which population health is better/worse than would be expected based on economic circumstances alone; see Evans, Chapter 4). Although the idea that population health is more than economic circumstances is not new (e.g., see Wilkinson and Pickett 2009; World Health Organization 2008), the book effectively exploits diverse “case examples” to explore the role of institutions and culture in explaining such exceptions. For example, Swidler (Chapter 5) contrasts AIDS-related initiatives in Botswana where, despite wealth and capable government, efforts have largely failed; and Uganda, where success in prevention and treatment was achieved despite seemingly unfavourable economic and administrative conditions. The unexpected outcomes are seen as reflecting differences in the match or fit (strong in Uganda; weak in Botswana) between the prevention/treatment initiative—especially the way in which it was implemented—and the existing cultural norms and institutional frameworks. A related theme emphasized throughout the book is the importance of historical/comparative approaches for understanding the determinants of population health, which may be “macro” and “slow-moving” (Hertzman and Siddiqi, Chapter 1); for example, the cultural and institutional attributes of wealthy countries with steep versus shallow social gradients in health, over time periods (eras) bounded by definable events (e.g., the Quiet Revolution in Quebec, discussed by Bouchard in Chapter 7; World War II; or the fall of communism in Europe). This approach has clear research implications: the need for appropriate (long-term, comparable) data and analytic/interpretive tools from a range of disciplines. Certain chapters stand out. The book’s introductory chapter by Hall and Lamont is especially rich, which in some cases undermines subsequent chapters because the main point or best example from the chapter is provided in the introduction. Jenson (Chapter 8) tackles the important question of why—even in the face of scientific consensus—policy change does not always occur. Using as a case example the sanitary reforms in Victorian England, Jenson illustrates how the citizenship regime and its constituent elements (e.g., beliefs about the responsibilities of state, market, families; definitions, both formal and informal, of citizenship) shed light on the implementation and impact of health initiatives. During this era, despite relative scientific consensus about the need to ensure clean water, clean streets, and adequate housing, full implementation of these [End Page 405] standards was impossible due to a citizenship regime dominated by a belief in the prominent role of the market for provision of services. There was no incentive, however...

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)0,002
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,007
Score d'incertitude au seuil0,023

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,007
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0030,006
Études des sciences et des technologies0,0000,001
Communication savante0,0020,003
Science ouverte0,0010,001
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0070,001

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 Opus0,041
Tête enseignante GPT0,377
Écart entre enseignants0,335 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

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

En bref

Citations1
Publié2010
Routes d'admission2
Résumé présentoui

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Même revueCanadian Public PolicyMême sujetHealth disparities and outcomesTravaux en français237 207