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Record W2009536142 · doi:10.1017/s0008423905319974

Democratization Without Representation: The Politics of Small Industry in Mexico

2005· article· en· W2009536142 on OpenAlexaff
Tina Hilgers

Bibliographic record

VenueCanadian Journal of Political Science · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicElite Sociology and Global Capitalism
Canadian institutionsYork University
Fundersnot available
KeywordsDemocratizationDemocracyPoliticsCivil societyPolitical scienceRepresentation (politics)Articulation (sociology)Political economySociologyPublic administrationLaw

Abstract

fetched live from OpenAlex

Democratization Without Representation: The Politics of Small Industry in Mexico, Shadlen, Kenneth C., University Park: Pennsylvania State University Press, 2004, pp. vii–xvi, 208. In this book Kenneth Shadlen addresses the important question of what democracy has really meant for civil society in Mexico. Mexico counts among the stragglers over the finish line of third-wave transitions, but, as elsewhere, hopes were high that democratization would magically result in political, social and economic betterment for all. Shadlen's book is among a growing number of studies drawing attention to the differences between electoral democracy—based on electoral turnover through relatively free and fair contests—and quality democracy—a more ideal regime type with intensive participatory and representative aspects. He challenges the perception that any kind of democracy always benefits all citizens more than other regimes, by offering an in-depth analysis of small business's interest aggregation and articulation difficulties, which have increased with the transition.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.054
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.006
Scholarly communication0.0050.003
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.035
GPT teacher head0.342
Teacher spread0.307 · 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

Citations0
Published2005
Admission routes1
Has abstractyes

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