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Record W1484722790 · doi:10.1111/basr.12007

<scp>R</scp>achel<scp>C</scp>arson's Toxic Discourse: Conjectures on Counterpublics, Stakeholders and the “Occupy Movement”

2013· article· en· W1484722790 on OpenAlexaff
Mark N. Wexler

Bibliographic record

VenueBusiness and Society Review · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPublic sphereSociologyEphemeral keyNarrativePublic discourseSalience (neuroscience)ArsonOpposition (politics)ObjectificationDiscourse analysisMedia studiesPolitical sciencePoliticsCriminologyLinguisticsLawPsychology

Abstract

fetched live from OpenAlex

Abstract This article draws attention to the origins, forms, and implications of “toxic discourse” as a genre central to the understanding of the public sphere in business in society.RachelCarson'sSilentSpringis used as a pivotal cultural document establishing “toxic discourse” as an ongoing form of moral narrative rooted in the rationality of counterpublics. Toxic discourse is framed within a center/periphery model in which toxic discourse gains salience in periods of economic dislocation and uncertainty. In these periods, toxic discourse draws together those on the periphery or counterpublics who otherwise would not unite in their opposition to the center. The article critically examines how stakeholder theory, despite making sense of the public sphere for agents of organizations, glosses counterpublics and relegates toxic discourse, as evident in the “Occupy Movement,” to the ephemeral role of temporary, disruptive protest groups with very little of substance to communicate.

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)0.005
metaresearch head score (Gemma)0.010
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 score0.013
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0020.012
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.025
GPT teacher head0.232
Teacher spread0.207 · 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

Citations5
Published2013
Admission routes1
Has abstractyes

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