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Enregistrement W4399547771 · doi:10.1111/1467-9566.13800

Care technologies for ageing societies: An international comparison. By K.Hamblin, and M.Lariviere (Eds.), Bristol: Policy Press. 2023. pp. 174. GBP 47.99 (hbk). ISBN: 978‐1447364801

2024· article· en· W4399547771 sur OpenAlexaffabout
Nicole Dalmer

Notice bibliographique

RevueSociology of Health & Illness · 2024
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueDigital Economy and Work Transformation
Établissements canadiensMcMaster University
Organismes subventionnairesnon disponible
Mots-clésSociologyMedia studiesPolitical science

Résumé

récupéré en direct d'OpenAlex

Imagining sustainable mechanisms to care for older adults is at the forefront of the work of a number of government, healthcare, academic and community organisations. This work is driven by changing family compositions, longer life expectancies, increasingly geographically dispersed family members and a growing expectation that older adults will age in place (i.e. living in one’s home for as long as possible, avoiding costly relocation to institutional care). Technological devices and interventions are increasingly called upon as pivotal tools to ameliorate what is being touted as a ‘global care crisis’. With an aim to ‘examine the role of technology within … varied systems of care provision that all face similar pressures around their sustainability’ (p. 2), this edited collection focuses its chapters on five countries (England, Australia, Germany, Canada and Japan) to examine how these countries, each with different policy contexts, are taking up technologies in their care relationships, arrangements and services. As a part of Bristol University’s Policy Press ‘Shorts’ collection, this edited collection is a quick read, coming in at 157 pages. Of note, this collection is also available to be read as Open Access, making it freely and permanently available online. The introductory chapter outlines key concepts (though, surprisingly, the technology as a concept section is theory-light and may have benefitted from a brief integration of Science and Technology Studies), the countries under comparison, as well as the book’s structure. Here, the editors are quick to highlight the challenges of cross-national policy and practice comparisons, drawing on Sartori’s (1970) notion of concept stretching. The chapters then move from England, to Australia, to Germany, to Canada and then to Japan, with scholars from each of those countries using statistics, figures, tables and charts to outline the historical, political, social and/or economic conditions that have brought about the current (and growing) need for technologies to provide care in their country. Authors then, depending on the country’s context, discuss country-specific laws and policies that are shaping the integration of technology, the research programmes that are assessing different technological devices in practice, as well as the challenges that linger (e.g. care worker shortages, fragmented care delivery and the impact of COVID). Perhaps as a result of the editors’ care to ensure that ‘conceptualisation [is] done with care to combat conceptual vagueness [or] inconsistency across contexts’ (p. 3), each chapter is differently organised and reads as a standalone unit. Care is differently conceptualised in each chapter—both in practice, in the individuals involved and in context. Some chapters focus predominantly on issues related to long-term care (Japan and Germany), others to care in the home (Australia and Canada) or a combination thereof (England). Some chapters highlight the role of family care providers, and others on paid care workers. Helpfully, the editors use the concluding chapter to summarise the main issues highlighted in each country, bringing together and highlighting key areas of convergence and divergence among the five countries, and propose a series of recommendations for policy makers, practitioners and researchers. Authors offer critiques of their countries’ current care contexts, including the lengthy wait times to access suitable and personalised care, data governance issues or the geographic terrain making technology delivery or access difficult. That said, given the book’s focus, I was troubled by a seeming lack of questioning the underlying premise of this collection, that is, that technologies are necessarily the (only) solution to our ongoing ‘care crisis’. I was waiting for a critical conversation about the prevailing interventionist agenda, that is the conceptualisation of ageing as the target for technological design, with technological intervention framed as an inherent good (Neven & Peine, 2017; Peine & Neven, 2021). Similarly, there was no mention of the broader socio-gerontechnology field (see, e.g. Peine et al.’s (2021) recent edited volume) that can support readers to critique the prevailing ageing and innovation discourse, whereby ageing populations (and ‘alarming’ demographic projections) are presented as a cause for crisis, with technologies positioned as being able to alleviate or fix this crisis and older adults pressured (in both explicit and implicit ways) into ‘responsibly’ adopting these technological devices to age well. Overall, this book provides a helpful overview to the policy, legislative and social contexts that are shaping the integration of technology in care contexts in five countries. Key policy documents, political decisions and legislation as well as notable research studies and grants are highlighted throughout each chapter, making this a collection that can be helpful and suitable for a range of audience members, including those in government, industry, care provision and academia.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut 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: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,721
Score d'incertitude au seuil0,836

Scores Codex et Gemma par catégorie

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

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.

Tête enseignante Opus0,028
Tête enseignante GPT0,361
Écart entre enseignants0,333 · 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 tête enseignante, 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
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
Publié2024
Routes d'admission2
Résumé présentoui

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