Which Barbarians at the Gates? From the Culture Wars to Market Orthodoxy in the North American Academy
Bibliographic record
Abstract
Dans cet article, l'auteur soutient que les liens entre les deux orientations principales qui caractérisent le monde universitaire nord‐américain au cours de la dernière décennie (soit les guerres culturelles et la « marchandisation ») doivent etre analysées de manière plus explicite qu'elles ne Font été jusqu'à présent. Plutôt que de fournir une description empirique détaillée de ces développements, nous pro‐posons une critique d'inspiration théorique de certaines des principales thèses de la droite en identiflant les intérects et les effets sociopolitiques qui les sous‐tendent. Nous tentons done de démontrer que la présente periode néolibérale de restructuration de l'université est le resultat profondément politique et nécessairement contesté d'un rétrécissement du champ de ses possibilités historiques. This paper contends that the links between the North American academy's two defining trends over the past decade (namely, the culture wars and commodification) need to be explored more explicitly than has hitherto been done. Rather than providing a detailed empirical description of these developments, what is proposed is a theoretically driven critique of some of the Right's main positions by identifying their underlying socio‐political interests and effects. All in all, the paper aims to demonstrate that the current, neo‐liberal phase of academic restructuring is a deeply politicized and contested product of the narrowing of the scope of historical possibilities for the university.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.024 | 0.022 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
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.
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".