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Record W4411780299 · doi:10.1177/13505084251348684

For a poetics of rage in the business school undercommons

2025· article· en· W4411780299 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOrganization · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPoeticsRage (emotion)SociologyEpistemologyLiteraturePhilosophyPsychologyArtSocial psychologyPoetry

Abstract

fetched live from OpenAlex

Drawing on the poetic work of Audre Lorde on anger and inspired by recent expressions of collective anger against the many regimes of inequality and injustice in the neoliberal business school, this essay aims to delineate the contours of a reinvented minoritarian critique that emerges through the undercommons, a fugitive, non-reformist collective mode of relating to this oppressive institution. I first discuss the concept of Lordean rage, a collective and transformative form of anger at intersecting social injustices, and I reflect on its role as an affective self-defense for those in oppositional presence to the business school. I then discuss how through the undercommons, we can think differently about how we relate to the institution, and how Lordean rage manifests an uncompromising and generative presence-in-anger for those who want to exist in dignity within and against the business school. This essay aspires to reinvigorate spaces of critique in MOS with a stronger poetic, inventive, and oppositional spirit nourished by a capacious collective rage at the neoliberal business school and its multiple regimes of injustice.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.768
Threshold uncertainty score0.224

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.220
Teacher spread0.209 · 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