Bibliographic record
Abstract
Theodor W. Adorno and Jnrgen Habermas both champion the goal of a rational society. However, they differ significantly about what this society should look like and how best to achieve it. Exploring the premises shared by both critical theorists, along with their profound disagreements about social conditions today, this book defends Adorno against Habermas' influential criticisms of his account of Western society and prospects for achieving reasonable conditions of human life. The book begins with an overview of these critical theories of Western society. Both Adorno and Habermas follow Georg Lukacs when they argue that domination consists in the reifying extension of a calculating, rationalizing form of thought to all areas of human life. Their views about reification are discussed in the second chapter. In chapter three the author explores their conflicting accounts of the historical emergence and development of the type of rationality now prevalent in the West. Since Adorno and Habermas claim to have a critical purchase on reified social life, the critical leverage of their theories is assessed in chapter four. The final chapter deals with their opposing views about what a rational society would look like, as well as their claims about the prospects for establishing such a society. Adorno, Habermas and the Search for a Rational Society will be essential reading for students and researchers of critical theory, political theory and the work of Adorno and Habermas.
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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 | 0.002 | 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 | 0.005 | 0.026 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".