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Record W2025364125 · doi:10.1215/01642472-2081103

Introduction

2013· article· en· W2025364125 on OpenAlexaboutno aff
Jane Elliott, Gillian Harkins

Bibliographic record

VenueSocial Text · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

This essay introduces the special issue “Genres of Neoliberalism,” which considers the relationship between neoliberalism and aesthetic formations across a range of sites, including Argentina, Brazil, Canada, England, Hong Kong, Kenya, Mali, the Philippines, and the United States. While the term “neoliberalism” has become so evacuated of specificity that some argue it should be abandoned, we suggest instead that problematizing the term makes visible pressing problems of periodization in the twenty-first century. As it currently circulates, neoliberalism is often used to synthesize or even resolve the conflicting conceptual apparatuses of postmodernism (a term derived from aesthetic, humanistic, and cultural methodological questions) and globalization (a term derived from political economic, social, and cultural methodological questions). By attending to the way in which culture functions as hinge between these two intellectual formations, we draw on the literary-historical terminology of genre in order to posit a humanities-based approach that is capable of attending the relations among aesthetic form, formations of capital, and institutionally sedimented forms of reading. We situate this intervention first in relation to long-standing debates within the humanities regarding Marxism, modernism, and the aesthetic, and second in relation to the recent “descriptive turn” or reaction against “symptomatic reading,” suggesting that it is difficult to assess this latter debate outside of the questions of periodization that we raise here. Finally, we provide an overview of the work in the issue, by Matthew J. Christensen, Jane Elliott, Gabriel Giorgi, Gillian Harkins, Neferti X. M. Tadiar, Alys Eve Weinbaum, and Carey Young.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.434
Threshold uncertainty score0.807

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0030.002
Scholarly communication0.0070.005
Open science0.0020.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.4340.280

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 head0.018
GPT teacher head0.207
Teacher spread0.189 · 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.

Study designNot applicable
Domainnot available
GenreEditorial

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

Citations54
Published2013
Admission routes1
Has abstractyes

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