Bibliographic record
Abstract
This chapter discusses the philosopher Richard Rorty’s influential writings on the contingent nature of ironic thinking and expression. Rorty argued that irony does not reveal foundational truths, but is employed to help us “depict the world through multiple points of view.” Irony provides a way of individually recreating the world for ourselves rather than offering a special device to demystify assumptions about reality that somehow exists outside of language. Rorty’s claimed that writers such as Proust, Heidegger, Nietzsche, and Derrida are ironists given their questions about the stories and vocabularies we inhabit. Literature is especially useful for creating spaces for irony as sites for creative, nonjudgmental self-examination. But philosophy is also a kind of playful ironic writing that helps us to create useful redescriptions of the world and our roles in it. Colebrook emphasizes that Rorty rejected the idea that irony is just a trope in which one thing is said and another is meant. Irony is “the very opposite of searching for essences,” which is why it is so important for understanding liberalism with its emphasis on the “politics of tolerance, anti-foundationalism, and freedom of speech.”
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.026 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".