Publish and Anguish: Reconsidering the Never-Ending Crisis of the Humanities
Bibliographic record
Abstract
Publish and Anguish: Reconsidering the Never Ending Crisis of the HumanitiesRussell CobbThis article reviews three books (Michael Bérubé. The Left at War. New York: New York University Press, 2009; Stanley Fish. Save the World on Your Own Time. Oxford: Oxford University Press, 2008; Louis Menand, The Marketplace of Ideas: Reform and Reaction in the American University. New York: W.W. Norton, 2010) in the larger context of the decline in funding and enrollment numbers in humanities departments. The article explores various responses to the crisis in the humanities in North America and ultimately agrees with Menand that reforms must be taken to make the humanities more relevant to fields outside the academy. The author disagrees with Fish that it is advisable or even possible to separate academic work from politics and also disagrees with Menand that the radical Left, or "Manichean" Left, represents a substantial problem in mainstream academic culture. Publier et s’angoisser: Reconsidérations sur la crise éternelle des sciences humaines Russell Cobb Cet article examine trois ouvrages récents (The Left at War par Michael Bérubé, New York: New York University Press, 2009; Save the World on Your Own Time, par Stanley Fish, Oxford: Oxford University Press, 2008; The Marketplace of Ideas: Reform and Reaction in the American University par Louis Menand, New York: W.W. Norton, 2010) dans la perspective du déclin du financement et des inscriptions au sein des départements de sciences humaines. L’auteur y passe en revue un certain nombre de positions adoptées jusqu’ici face à cette crise du point de vue nord-américain, pour finalement se ranger aux arguments de Menand selon lesquels une réforme est nécessaire en vue de rendre les sciences humaines plus compatibles avec des domaines extérieurs au monde académique. L’article s’oppose toutefois à Menand sur la prétendue nature problématique d’une intelligentsia radicale de gauche dans les universités, et prend le contrepied des propos de Fish quant au besoin de séparer la recherche fondamentale de la sphère politique.
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 | 0.036 | 0.052 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.031 | 0.097 |
| Scholarly communication | 0.047 | 0.074 |
| Open science | 0.004 | 0.025 |
| Research integrity | 0.025 | 0.031 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".