Bibliographic record
Abstract
The popularity of Deleuze and Guattari is an undeniable precedent in current theoretical exchanges, and it could be stated without much contention that one's theoretical positioning must at some point deal with the salient conceptual offerings of Deleuze and Guattari, especially their double-opus, Anti-Oedipus and A Thousand Plateaus wherein a wealth of critique abounds. However, the significant trends concerning Deleuze and Guattari ‘scholarship’ may be jeopardised by the (ab)use of certain conceptual themes and methods in their work that are distorted and employed by big business looking to secure their legacies of power by means of a control mechanism that looks to subjugate an entire world by means of (to borrow a term from Mihai Spariosu) ‘globalitarianism’. Our aim here will be to use McDonald's Corporation as an example of how the theoretical offerings of Deleuze and Guattari have been indirectly and hastily deployed for corporate ends, how these attempts are counter-Deleuzian, and to answer at least one of Žižek's criticisms against Deleuze.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.022 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".