Bibliographic record
Abstract
Notes on Contributors Acknowledgements Abbreviations Introduction, David Cunningham (University of Westminster, UK) and Nigel Mapp (University of Tampere, Finland) Part I: Philosophy, Aesthetics and Literature 1. Literature, and the Modern System of the Arts: Sources of Criticism in Adorno, Stewart Martin (Middlesex University, UK) 2. Adorno's critical Presence: Cultural Theory and Literary Value, Martin Ryle (University of Sussex, UK) and Kate Soper (London Metropolitan University, UK) 3. Interpretation and Truth: Adorno on Literature and Music, Andrew Bowie (Royal Holloway, UK) 4. Adorno and the Poetics of Genre, Eva Geulen (University of Bonn, Germany) Part II: Poetry and Poetics 5. Lyric Poetry Before Auschwitz, Howard Caygill (Goldsmiths, UK) 6. The Truth in Verse? Adorno, Wordsworth, Prosody, Simon Jarvis (University of Cambridge, UK) 7. Lyric's Expression: Musicality, Conceptuality, Critical Agency, Robert Kaufman (Stanford University, USA) 8. Returning to the 'House of Oblivion': Celan Between Adorno and Heidegger, Iain Macdonald (University of Montreal, Canada) Part III: Modernity, Drama and the Novel 9. Forgetting - Faust: Adorno and Kommerell, Paul Fleming (New York University, USA) 10. Adorno's Aesthetic Theory and Lukacs's Theory of the Novel, Timothy Hall (University of East London, UK) 11. No Nature, No Nothing: Adorno, Beckett, Disenchantment, Nigel Mapp (University of Tampere, Finland) 12. Late Style in Naipaul: Adorno's Aesthetic and the Postcolonial Novel, Timothy Bewes (Brown University, USA) 13. After Adorno: The Narrator of the Contemporary European Novel, David Cunningham (University of Westminster, UK) Index.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.052 | 0.011 |
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".