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Record W2068653144 · doi:10.1080/23269995.2014.888618

The containment of Occupy: militarized police forces and social control in America

2014· article· en· W2068653144 on OpenAlexaff
Matthew J. Morgan

Bibliographic record

VenueGlobal Discourse · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsYork University
Fundersnot available
KeywordsMilitarizationAuthoritarianismPolitical economyPoliticsPolitical scienceContext (archaeology)StatismSocial movementNeoliberalism (international relations)SociologyLawCriminologyPublic administrationDemocracy

Abstract

fetched live from OpenAlex

The spread of the Occupy movement across the globe has reinvigorated the political, expanding the horizon of possibility after over thirty years of closure imposed by neoliberalism. While a literature which analyzes the interlinking nature of these social movements across the world is emerging, the response to them by powerful public and private actors is less examined. This paper focuses upon the attempt by domestic authorities in the United States to curtail these struggles. Applying the work of Nicos Poulantzas on authoritarian statism it examines how private and public actors have worked together to contain the recent surge of protest. Specific attention is paid to the harsh response of police forces to the Occupy protests, which is analyzed in the context of the growing militarization of American police that has been underway since the declaration of the War on Drugs in 1971.

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)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score0.189

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0100.029
Scholarly communication0.0090.003
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.319
Teacher spread0.312 · 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

Citations6
Published2014
Admission routes1
Has abstractyes

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