James Joyce's Negations: Irony, Indeterminacy and Nihilism in "Ulysses" and Other Writings
Bibliographic record
Abstract
Introduction Part One, Irony and Indeterminacy as Normative: Irony and Inclusiveness Dubliners and The Persistence of Irony Part Two: Irony, Technique and The Fate of Sentiment in Ulysses: Technique and Language in Ulysses Sentiment, Music, Women Part Three, Multiperspectivism, Indeterminacy and Nihilism in 'Ulysses': Ulysses: Fragmentariness, Pluralism, Indeterminacy and the Question of 'Meaning' 'Ithaca' and the Futility of Taxonomy, Ulysses and The Question of Order/Design Part Four, Negation and The Possibility of Affirmation - Bloom, 'Ithaca' and 'Penelope': Leopold Bloom: Passive Hero or 'Aesthetic Man'? 'Avoiding the Void? 'Ithaca' and 'The Apathy of the Stars' Trying to Say 'Yes': Ironising Molly Bloom Part Five, 'Finnegans Wake' as Culmination: The Paradox of Willed Indeterminacy in Finnegans Wake Postscript: Joyce and the Limitations of Comedy Bibliography 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.019 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".