MétaCan
Menu
Back to cohort
Record W2116082024 · doi:10.5195/jwsr.2004.313

Breaking the Bank & Taking to the Streets: How Protesters Target Neoliberalism

2004· article· en· W2116082024 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of World-Systems Research · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicElite Sociology and Global Capitalism
Canadian institutionsnot available
Fundersnot available
KeywordsNeoliberalism (international relations)Political economyPoliticsLatin AmericansPolitical scienceCollective actionSociologyEconomyEconomicsLaw

Abstract

fetched live from OpenAlex

This paper analyses a set of 467 local protests that took place against neoliberalism on 5 global days of action between 1998 and 2001 and ?nds that the targets of protest di?er on each continent. The majority target either the global institutions of neoliberalism, such as the IMF, World Bank, World Trade Organization or the Group of 8, or neglect to identify a single institutional target. However, the most popular local target in Africa and Asia is national or local government. In Latin America protests are most likely to target banks or stock exchanges, and in the US, Canada and Europe, corporations. The sources of such variation lie in pre-existing political repertoires, transnational organizational networks, and processes of structural equivalence that underlie di?usion patterns.

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)0.015
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.730
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.136
GPT teacher head0.430
Teacher spread0.295 · 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