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Record W4404510815 · doi:10.1111/2047-8852.12471

Political Developments and Data in 2023

2024· article· en· W4404510815 on OpenAlexaboutno aff
Raúl Gómez, Thomas Mustillo, Michelangelo Vercesi

Bibliographic record

VenueEuropean Journal of Political Research Political Data Yearbook · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPopulism, Right-Wing Movements
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsPolitical scienceLaw

Abstract

fetched live from OpenAlex

Issues in national politics in 2023In recent years, global events like the COVID-19 pandemic and the war in Ukraine, alongside consumer price inflation, have significantly shaped the political landscape of many countries covered by the Political Data Yearbook.However, 2023 saw a shift toward more country-specific political dynamics.While some common themes persisted, a single dominant issue failed to emerge.After two years of mostly favorable aggregate economic growth, economic performance in 2023 was decidedly modest, with a country-level average growth just short of 1 per cent (The World Bank 2024).Only the United States and Japan outperformed growth rates from the previous year.Ireland is the land of extremes on this indicator: after at least three years with the highest annual growth rate in the group, it finished 2023 with the lowest, coming in at -3.2 per cent.As reflected in the country profile of this volume, which characterizes the economy as "buoyant," international actors note that the net decline arises because of declines in specific sectors that are dominated by multinationals, which are attracted by the relatively low corporate tax rate (among other things).Factoring out this influence, the domestic economy performed much closer to the average of the Yearbook cases.Estonia finished in a close second to last, reflecting a continuing recession that challenged the new all-liberal government led by the Reform Party (Mlder 2024).With nine other country cases experiencing very modest negative growth, and 24 with positive growth that barely exceeded 3 per cent at best, the only other cases that stand apart are Iceland and Malta, with respectable growth rates at 4.1 per cent and 5.6 per cent, respectively.Nevertheless, our country report on Iceland reveals considerable economic stress.High inflation was especially salient and took a toll on the government's popularity (Hardarson 2024).Compared to 2022, inflationary pressures receded in most countries.Nevertheless, the cost-of-living crisis, often intertwined with concerns about housing affordability and declining real wages, dominated national debates in Australia, Austria, Bulgaria, Croatia, Canada, Cyprus, Czechia, Germany, Iceland,

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)0.019
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.947
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0010.001
Open science0.0040.004
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.369
GPT teacher head0.529
Teacher spread0.160 · 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.

Study designTheoretical or conceptual
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

Citations1
Published2024
Admission routes1
Has abstractyes

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