Bibliographic record
Abstract
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.040 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".