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Record W2123584274 · doi:10.1017/s1537592712003623

Privatization and Protest: Occupy Wall Street, Occupy Toronto, and the Occupation of Public Space in a Democracy

2013· article· en· W2123584274 on OpenAlexaffabout
Margaret Kohn

Bibliographic record

VenuePerspectives on Politics · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicHannah Arendt's Political Philosophy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPublic spaceAppropriationPoliticsDemocracyNormativePolitical scienceSpace (punctuation)State (computer science)SociologyPower (physics)Public administrationPublic sphereMeaning (existential)Political economyAutonomyLawLaw and economics

Abstract

fetched live from OpenAlex

This article examines the legal and normative debates about the Occupy Toronto movement in order to illuminate the issues raised by Occupy Wall Street. It challenges the view that the occupation of parks and plazas was an illegitimate privatization of public space. In both New York City and Toronto, the courts relied on a theory that Habermas called “German Hobbesianism.” This sovereigntist theory of the public was used to justify removing the protesters and disbanding the encampments. The alternative is what I call the populist model of the public, a term which describes the political mobilization of the people outside the institutional structures of the state. While my focus is on public space, I suggest the appropriation of space was the most visible aspect of a broader call for collective control of the common wealth of society. In other words, we should understand the occupations synecdochally as struggles over the meaning and power of public and private.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.627
Threshold uncertainty score0.742

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0210.055
Scholarly communication0.0090.004
Open science0.0010.006
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.024
GPT teacher head0.310
Teacher spread0.285 · 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

Citations83
Published2013
Admission routes2
Has abstractyes

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