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Record W3213726544 · doi:10.1017/s0144686x21001598

From volunteer work to informal care by stealth: a ‘new voluntarism’ in social democratic health and welfare services for older adults

2021· article· en· W3213726544 on OpenAlexfundno aff
Gudmund Ågotnes, Jill-Marit Moholt, Bodil H. Blix

Bibliographic record

VenueAgeing and Society · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsnot available
FundersUniversitetet i BergenYork UniversityHøgskulen på Vestlandet
KeywordsVoluntarism (philosophy)Welfare stateHealth careWelfarePublic relationsSocial policyPopulationSocial WelfarePoliticsPolitical scienceSociologyPublic administrationLaw

Abstract

fetched live from OpenAlex

Abstract In the context of current and expected demographic changes, the issues of which services the welfare state should offer and, ultimately, the very function of the welfare state are currently debated in Norway. The political discourse on health and care services for older adults has morphed into an accepted reality in which the system must be altered, prompting policy makers and stakeholders to find new and novel solutions to problems associated with population ageing. In this paper, we discuss one such proposed solution: the transformation of health and care services for the older adult population through the increased involvement of volunteers. We ask how volunteer efforts are articulated and delineated through official accounts and discuss the implications of such an articulation and delineation. We seek answers to these questions through a critical discourse analysis of recent governmental white papers. We investigate, in other words, volunteer efforts as a political instrument. We argue that the official representation of how efforts in health and care services should be re-aligned take the form of a distinct discourse of ‘voluntarism’. Within this ‘voluntarism’, volunteer efforts have been altered from a third sector comprising charity and non-profit organisations that contribute within or as a supplement to the largely public-run welfare system to a limitless and extensive concept that is blurring the boundaries to informal care.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.299
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations24
Published2021
Admission routes1
Has abstractyes

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