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Record W4394969207 · doi:10.62608/2158-0669.1189

The Power of Uncertainty: The Neoliberal Quest for Profit in Spain

2014· article· en· W4394969207 on OpenAlexaff
Ismael Vaccaro

Bibliographic record

VenueJournal of International and Global Studies · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsMcGill University
Fundersnot available
KeywordsEconomicsPower (physics)Profit (economics)Neoclassical economicsClassical economicsSociologyPhysics

Abstract

fetched live from OpenAlex

Using as a case study the consequences of the recent generalized economic crisis in Spain and Europe (2008-14), I propose to analyze the role of uncertainty as a key and recurrent ingredient needed by market economies to generate high levels of profitability at the cost of extremely high levels of social inequality. The present article examines the relationships between crises and uncertainty as socially constructed realities that have been instrumental in the political reshaping of entire societies. The “crisis” narrative has succeeded in explaining extreme levels of profit generation as economic “failure” and, consequently, in legitimating further profit by dismantling the welfare state and appropriating public resources via loans to repay the debt incurred by a financial system that relies upon the collection of interest. Throughout history, economic uncertainty has been an important characteristic of capitalism and its labor market and has been actively sought after or fought against by decision-makers and regulators of different historical periods. The experience of daily economic uncertainty and anxiety about the future pushes individuals to be willing to work for less. Social policies and workers’ rights are the balancing forces that counteract the “natural” volatility and the mercilessness of the market; such policies also diminish uncertainty and generate social cohesion. The current crisis in Spain and Europe is characterized by exacerbated uncertainty, contraction of public social protection, and, inevitably, the rampant increase of inequality and poverty

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)0.001
metaresearch head score (Gemma)0.000
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 score0.627
Threshold uncertainty score0.162

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.025
GPT teacher head0.270
Teacher spread0.245 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2014
Admission routes1
Has abstractyes

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