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Record W1868565596 · doi:10.18740/s4q30d

Austerity and its Aftermath: Neoliberalism and Labour in Argentina

2011· article· en· W1868565596 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueSocialist studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American socio-political dynamics
Canadian institutionsYork University
Fundersnot available
KeywordsAusterityNeoliberalism (international relations)DeregulationEconomicsPopulismCapital (architecture)Political scienceWelfare economicsEconomyEconomic policyHumanitiesPoliticsPolitical economyMarket economyGeography

Abstract

fetched live from OpenAlex

The crisis Argentina faced in the late 1980s legitimized a diagnosis that linked the country’s poor economic performance to an inward-looking economy, excessive fiscal spending, unwarranted state regulations, a misguided set of incentives that failed to boost competitiveness and the “economic populism” that privileged political goals over economic efficiency. Alternatively, the solution was sought in policies that privileged deregulation, the free flow of commodities and capital, privatization and a selective intervention of the state in the economy. In this article we will account for the shape of neoliberal restructuring in Argentina by drawing attention to the heavy costs stabilization imposed on the country as the decade progressed. We will emphasize the costs the workers were called on to bear and the responses that emerged from them to challenge neoliberalism. La crise qui a frappé l’Argentine à la fin des années 1980 a justifié un diagnostic qui liait la faible performance économique à plusieurs facteurs : le caractère endogène de son économie, les dépenses excessives de l’État, les réglementations mal avisées, les stimulants mal ciblés qui ne sont pas parvenus à soutenir la compétitivité et le « populisme économique » qui privilégiait les finalités politiques plutôt que l’efficacité économique. En réponse à ce diagnostic, les solutions privilégiées visaient la déréglementation, la libre circulation des marchandises et du capital, les privatisations et l’intervention ciblée de l’État dans l’économie. Cet article présente la configuration des réformes néolibérales en Argentine en insistant sur les coûts élevés que la stabilisation a entraînés au cours de la décennie. Nous soulignons l’importance du fardeau imposé aux travailleurs et travailleuses ainsi que leurs réactions pour contrer le néolibéralisme.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.591
Threshold uncertainty score0.644

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.110
GPT teacher head0.374
Teacher spread0.264 · 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