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Record W3084113992

The welfare state and social trust: a descriptive analysis

2011· article· en· W3084113992 on OpenAlexaboutno aff
Larysa Tamilina

Bibliographic record

VenueMunich Personal RePEc Archive (Ludwig Maximilian University of Munich) · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Capital and Networks
Canadian institutionsnot available
Fundersnot available
KeywordsInterpersonal communicationWelfare stateSocial trustDemographic economicsWelfarePopulationPolitical scienceDemographyEconomicsSociologySocial psychologyPsychologySocial capitalLaw
DOInot available

Abstract

fetched live from OpenAlex

This paper analyzes the level of interpersonal and institutional trust among the selected countries as well as its change over time. The analysis shows that the average value of both interpersonal as well as institutional trust is highest in social democratic welfare regimes and is followed by liberal welfare regimes, with conservative welfare regime sclosing the ranking. However, when analyzing institutional trust, one reveals less fluctuation compared to the case of interpersonal trust. The analysis of the changes in interpersonal trust from 1981-2004 provides evidence that points to fact that there is no single pattern followed by all selected countries. In Australia, France, the United Kingdom, and Switzerland, the share of people who positively answered the trust question slightly declined over the period from 1981 – 1998. In Austria, Denmark, Japan, the Netherlands, Norway, and Sweden, the share of the trusting population increased over the analyzed period. Mixed results were found in the remaining countries: Belgium, Canada, Germany, Ireland, and Italy, where the trend of trust change shows some fluctuation. First, it increases over a short period followed by a sudden drop in trust levels. The same pattern was found when analyzing the fluctuation of institutional trust over the selected period. For those countries, where the question of confidence in public welfare institutions was asked in all waves of the survey, one can derive two groups: the first comprises those where a drop in confidence levels was found (Austria, Denmark, Finland, France, Germany, Ireland, Italy, and the Netherlands), the second includes those where a slight increase in the share of trustors was present (Belgium, Sweden and the UK).

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 categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.210
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.220
Teacher spread0.190 · 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; both teacher heads agree on what is shown here.

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
Published2011
Admission routes1
Has abstractyes

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