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Record W2158702940 · doi:10.1504/ijhd.2012.050823

Adjusting to the crisis: well-being and economic conditions in Ireland

2012· article· en· W2158702940 on OpenAlexaboutno aff
Brendan Walsh

Bibliographic record

VenueInternational Journal of Happiness and Development · 2012
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsnot available
FundersHealth Research Board
KeywordsRecessionIrishUnemploymentEurobarometerDemographic economicsQuarter (Canadian coin)EconomicsDevelopment economicsDemographyPolitical scienceGeographyEconomic growthEconomic policySociologyKeynesian economicsEuropean union

Abstract

fetched live from OpenAlex

This paper explores how a range of well-being indicators have behaved in Ireland from the 1970s through 2011. Despite Ireland’s transformation from a relatively poor and backward economy in the 1970s to one of the richest countries in the world by the first decade of the 21st century, the Eurobarometer series on average life satisfaction shows no upward trend once the influence of unemployment has been allowed for. In recent years, the country has been among the hardest hit by the current ‘great recession’ but while self-assessed life satisfaction declined between 2007 and 2011 this decline was not very marked and not nearly as dramatic as has been recorded in some other crisis-stricken countries or during previous Irish recessions. Furthermore, contrary to expectations, other possible indicators of well-being, such as the suicide rate and admission rates to psychiatric hospitals have not risen in line with the soaring unemployment rate and the Irish fertility rate has remained high in the face of economic adversity. Overall, the impact of the current recession on well-being has been surprisingly small.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.178

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 head0.038
GPT teacher head0.377
Teacher spread0.340 · 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 designObservational
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

Citations5
Published2012
Admission routes1
Has abstractyes

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