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Record W2273845967 · doi:10.1177/0020715215624481

The impact of democracy, government ideology, and globalization on social spending in less developed countries

2015· article· en· W2273845967 on OpenAlexvenueno aff
Eunyoung Ha

Bibliographic record

VenueInternational Journal of Comparative Sociology · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGlobalizationIdeologyDemocracyEconomicsDevelopment economicsLeft-wing politicsGovernment (linguistics)Government spendingPoliticsWelfarePolitical economyPolitical scienceMarket economy

Abstract

fetched live from OpenAlex

This study examines how democracy, government ideology, and globalization have shaped social expenditures in 67 less developed countries from 1975 to 2005. The empirical results show that more democratic nations spend a greater amount on social security and welfare (SSW), while leftist governments spend more on education. This is because, in most less developed nations, SSW programs disproportionately benefit formal-sector workers, who tend to be the decisive voters in the countries, and education spending helps a broader spectrum of people. The article also examines factors related to globalization and finds that a higher level of external debt is strongly associated with reduced SSW spending, which imposes direct costs and burdens to business. The results in this article provide evidence that, even in less developed countries, political leaders’ commitment to social expenditures varies according to their electoral, ideological, and economic interests.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.335
Threshold uncertainty score0.469

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 studies0.0000.001
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 head0.148
GPT teacher head0.475
Teacher spread0.327 · 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

Citations23
Published2015
Admission routes1
Has abstractyes

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