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Record W2920851595 · doi:10.1177/0011392119829511

Moral panic and the new neoliberal compromise

2019· article· en· W2920851595 on OpenAlexaff
Sean P. Hier

Bibliographic record

VenueCurrent Sociology · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Deviance, and Social Control
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMoral panicCompromiseNeoliberalism (international relations)SociologyHegemonyNormativeMoral responsibilityPerspective (graphical)PoliticsEveryday lifePositive economicsPolitical economyEpistemologyLaw and economicsEnvironmental ethicsLawCriminologyPolitical scienceSocial scienceEconomics

Abstract

fetched live from OpenAlex

Moral panics are conventionally explained as socially regressive overreactions to objectively minor problems. In the early 2000s, moral panics were recast as collective grievances that arise from perceived crises in the moral regulation of everyday life. Emphasizing neoliberal forms of entrepreneurial risk management, the panic-as-regulation perspective provides ways of thinking beyond some of the limitations associated with conventional perspectives. This article shows how the new neoliberal compromise, characterized by ongoing submission to the rule of capital in the absence of familiar ways of securing hegemonic consensus, is calling attention to the importance of theorizing the conjunctural norms of personal responsibility that underscore the panic-as-regulation perspective. By locating market-oriented subjectivities in the wider trajectory of neoliberalism, we achieve two things: first, a clearer understanding of the normative phase of neoliberal rule in whose image the panic-as-regulation perspective is crafted; second, a stronger position to develop insights into post-hegemonic claims-making activities that are appearing across the political and cultural spectrums.

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)0.006
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.061
Scholarly communication0.0100.008
Open science0.0010.008
Research integrity0.0030.006
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 head0.035
GPT teacher head0.338
Teacher spread0.303 · 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 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

Citations32
Published2019
Admission routes1
Has abstractyes

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