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Record W2170620185 · doi:10.1177/0192512108097057

Competing Visions of Democracy and Development in the Era of Neoliberalism in Mexico and Chile

2009· article· en· W2170620185 on OpenAlexaff
Judith Teichman

Bibliographic record

VenueInternational Political Science Review · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Society in Latin America
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDemocracyVisionPoliticsTechnocracyNeoliberalism (international relations)CriticismCivil societyPolitical economyArgument (complex analysis)Political scienceSociologyPovertyGrassrootsPublic administrationDevelopment economicsEconomicsLaw

Abstract

fetched live from OpenAlex

This article takes as its starting point the current scholarly concern with democratic quality, poverty, and inequality. It notes the tendency of political leaderships at the federal level in Mexico and Chile to exclude political pressures that contravene their neoliberal imperatives. It develops this argument with specific reference to the contestation over conditional cash transfer programs. Research reveals the existence of two competing visions of democracy and development at the root of this conflict. The neoliberal perspective is supported by political-technocratic leaders who developed these programs, while the community development perspective is found among their civil society critics. The community development perspective challenges the key tenets of the neoliberal viewpoint, making its exclusion from policy development and monitoring understandable. However, this exclusion may give rise to increased criticism of the responsiveness of democratic institutions and to less than efficacious policy outcomes.

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)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.011
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.384
Teacher spread0.359 · 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 designQualitative
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

Citations19
Published2009
Admission routes1
Has abstractyes

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