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Record W3056755204 · doi:10.1177/0191453720948388

Can meritocracy replace democracy? A conceptual framework

2020· article· en· W3056755204 on OpenAlexaff
Baogang He, Mark E. Warren

Bibliographic record

VenuePhilosophy & Social Criticism · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Socioeconomic Reforms and Governance
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMeritocracyAuthoritarianismDemocracyPoliticsSociologyPositive economicsEpistemologyPolitical economyContext (archaeology)Ideal (ethics)ChinaPolitical scienceSocial scienceLawEconomicsBiologyPhilosophy

Abstract

fetched live from OpenAlex

Influenced by the example of China, a literature is emerging that advocates a modernized version of Confucian meritocracy, often as an alternative to liberal democracy and even democracy itself. We disagree with these arguments. A critical examination of the Chinese practices of meritocracy within the context of a regime that remains authoritarian is noticeably absent in the literature. This article addresses this gap and, in its findings, argues that political meritocracy, despite first appearances, does not offer a better alternative to liberal democracy. In contrast to many analyses, we do not view ‘meritocracy’ as a regime type but rather as an aspirational ideal that political leaders should have in merit their positions, relative to their functions. We develop a theoretical framework for comparing meritocratic features of regimes centred on a distinction between authoritarian meritocracy and democratic meritocracy. The framework brings into focus the ways in which the authoritarian features of the Chinese political systems undermine meritocratic claims and aspirations.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.799
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.047
GPT teacher head0.315
Teacher spread0.268 · 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

Citations25
Published2020
Admission routes1
Has abstractyes

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