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Record W2343723958 · doi:10.1057/9780230524439_9

The Rise of Neoliberalism in Mexico: from a Developmental to a Competition State

2005· book-chapter· en· W2343723958 on OpenAlexaff
Susanne Soederberg

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2005
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsQueen's University
Fundersnot available
KeywordsNeoliberalism (international relations)GlobalizationMarketizationWelfare stateCompetition (biology)Political sciencePoliticsPolitical economyDevelopmental stateEconomicsContext (archaeology)Development economicsEconomic systemMarket economyGeography

Abstract

fetched live from OpenAlex

One of the most predominant features of globalization, namely, the increasing mobility and power of global capital flows, has acted to constrain the scope of state intervention over the past two and a half decades, particularly in the area of economic policy formation. As we saw in the first part of this volume, within the context of the advanced industrialized countries (AICs), globalization has acted as the underlying impetus of the shift from various expressions of Keynesian demand management/welfare state to neoliberal forms of government intervention. The latter has been aptly captured by the term ‘national competition states’ (Cerny, 1993b, 1999; Hirsch, 1995). One of the main characteristics of competition states is that traditional policies aimed at achieving social justice through economic redistribution have been challenged and profoundly undermined by the marketization of the state’s economic activities and its focus on attracting and retaining capital flows (Cerny 1999: 3). This situation raises at least two interrelated questions. First, is it correct to assume these neoliberal forms of political regulation hold true for ‘Third world’ developmental states? And, second, if the states of emerging market economies have adopted the characteristics of a competition state, then to what degree, and with which political, social and economic consequences? In what follows I aim to provide answers to these questions by exploring key changes in the area of economic policy formation in Mexico from the 1982 debt crisis to the peso debacle in 1994/95.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.955
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.022
GPT teacher head0.214
Teacher spread0.192 · 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

Citations12
Published2005
Admission routes1
Has abstractyes

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