MétaCan
Menu
Back to cohort
Record W2999348161 · doi:10.1177/0038038519895937

Comparing Capitalisms: Debates, Controversies and Future Directions

2020· article· en· W2999348161 on OpenAlexaff
Geoffrey Wood, Matthew M. C. Allen

Bibliographic record

VenueSociology · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsInequalityNeglectPoliticsEconomic inequalityEconomicsPolitical economySocial inequalityCapitalismSociologyDevelopment economicsPolitical scienceLaw

Abstract

fetched live from OpenAlex

Various strands of the comparative capitalisms (CC) literature agree that the advanced economies have liberalized in recent years, bringing with it rising income and wealth inequality and job insecurity; although these perspectives differ in important ways, there is much common ground between them to explain this heightened level of inequality and insecurity. Through reviewing contributions to three key CC perspectives since 2007/2008, we argue that they have tended to focus on developments in co-ordinated market economies, leading to a neglect of growing structural crises in liberal market economies, which have contributed to the UK and the USA entering uncharted socio-political waters. We extend recent work that emphasizes how variation between countries in labour-market institutions, different corporate forms and states’ fiscal policies help to explain income and wealth inequality to highlight future research agendas that seek to combine more systematically these institutional areas to explain social inequalities, workers’ experiences and socio-political crises within capitalist systems.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.046
metaresearch head score (Gemma)0.058
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.046
Threshold uncertainty score0.243

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0460.058
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0070.011
Science and technology studies0.0080.053
Scholarly communication0.0170.039
Open science0.0060.010
Research integrity0.0100.011
Insufficient payload (model declined to judge)0.0110.001

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 head0.043
GPT teacher head0.315
Teacher spread0.272 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations25
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueSociologySame topicSocial Policy and Reform StudiesFrench-language works237,207