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Record W4405458396 · doi:10.1111/ijsw.12710

Satisfaction with social care in the <scp>UK</scp>: Assessing the interactive effects of age and ideology

2024· article· en· W4405458396 on OpenAlexaff
Anthony Kevins, Naomi Lightman

Bibliographic record

VenueInternational Journal of Social Welfare · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsToronto Metropolitan University
FundersBritish AcademyLeverhulme Trust
KeywordsIdeologyPsychologyGerontologySocial psychologyMedicineAdvertisingBusinessPolitical sciencePolitics

Abstract

fetched live from OpenAlex

Abstract Social care is a pressing policy issue in the UK, where it is widely acknowledged that the status quo—including who pays, profits, and receives/delivers care—is unsustainable. Yet we know relatively little about the factors shaping satisfaction with the current system, as most prior research has been either descriptive in nature or focused on assessing funding priorities. This study investigates determinants of social care satisfaction for the UK general population, paying particular attention to the potentially interactive effect of age and ideology. Using 2012–2019 BSA Survey data, we find that middle‐aged respondents are particularly dissatisfied with social care, but that ideology complicates this dynamic: while conservatives were broadly more satisfied with social care than progressives, this ideology effect disappears among older respondents. This result is largely driven by a modest increase in satisfaction among older progressives—though satisfaction remains low even among comparatively more satisfied groups.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score0.307

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.006
GPT teacher head0.313
Teacher spread0.307 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2024
Admission routes1
Has abstractyes

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