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Record W4410480531 · doi:10.1111/spol.13141

The Relationship Between Perceptions of Social Service Quality and Subjective Well‐Being

2025· article· en· W4410480531 on OpenAlex
Lihi Lahat, Chen Sharony, Guy Van‐Dam, Nir Sharon

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSocial Policy and Administration · 2025
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsConcordia University
FundersMinistry of InnovationTel Aviv UniversityDeutsche ForschungsgemeinschaftNational Science Foundation
KeywordsPerceptionPsychologySocial network serviceQuality (philosophy)Well-beingService qualitySocial psychologyService (business)Applied psychologyBusinessMarketingSocial influencePsychotherapist

Abstract

fetched live from OpenAlex

ABSTRACT How people perceive the quality of social services and how that influences their subjective well‐being, or vice versa, is a topic that has received little attention in the literature. We explored these questions using a multilevel data analysis from the 2016 European Quality of Life Survey. We also used diffusion maps to get new insights arising from the data. While the correlations were statistically significant in both directions, the influence of perceptions of social service quality on subjective well‐being seemed more prominent. Furthermore, types of service (especially childcare and education) and welfare regimes significantly impacted the relationship between perceptions of social service quality and subjective well‐being. People with lower subjective well‐being had more homogenous perceptions of the quality of social services than those with higher subjective well‐being. Our study makes empirical and theoretical contributions to the social policy literature. The findings also have practical implications for policymakers.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.585
Threshold uncertainty score0.881

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 studies0.0010.000
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 head0.079
GPT teacher head0.450
Teacher spread0.372 · 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