Ageing Populations in Post-Industrial Democracies: Comparative Studies of Policies and Politics
Notice bibliographique
Résumé
While the consequences of population ageing in developed and democratic nations have been considered by scholars from many disciplines, the editors note that "political science as a discipline has lagged behind in developing an integrated body of knowledge to answer the question of which generations get what, when, and how," and state that this volume "aims to be a building block for such a body of research" (p. 1).The two main research questions explored throughout the volume are: (a) Can it be said that generational warfare has replaced class warfare in industrialized countries?and (b) Are ageing democratic societies driven by the growing electoral clout of the elderly (the elderly power hypothesis) or rather by cost-containment policies targeted toward the elderly (so-called leakage hypothesis)?The volume brings together a collection of eleven studies from twelve scholars in six countries, and provides a mix of quantitative and qualitative studies, each with an "explicitly comparative-political lens" (p.9), intended to explore how political systems function as major generational changes take place in the context of fiscal restraint.The studies are diverse in the range of approaches that are used (some following a rational public choice approach, other relying more on path dependence and institutionalist perspectives) and, we find, insightful in the conclusions that are reached.The editors do a nice job of "mapping the field" in their introductory chapter, but an important quibble relates to their (widely shared) use of 65 and older as the marker of old when most of their comparisons extend extend over six decades; given that they emphasize the observed increases in life expectancy (including healthy life expectancy), it seems odd to continue to fixate on age 65.Indeed, the worsening of the dependency ratio would be largely offset if the concept of old were adjusted to reflect such gains; that point is noted (p.8) but then ignored.In any event, population projections do not play a major role in the chapters that follow.There are a few unfortunate editorial lapses: one is the occasional careless use of numbers, with a notable example appearing in Table 1.1, bottom panel, which reports, "Elderly care costs as a share of GDP" in 1980 and 2005.For the OECD-30 it is reported as 0.58 in 2005, meaning that a preposterous 58 per cent of GDP was used in this way, even though the text interprets it as "0.58 per cent of GDP" (p.8); furthermore, there is no description of the concept that is measured, and the source note is not sufficiently informative to enable readers to investigate.The long-run decline in the labour force participation rate of older male workers is noted, together
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».