Bibliographic record
Abstract
Trent Davis's essay on the pedagogy of pessimism has two linked analysesone is dedicated to the problem of illusion and the other defends his notion of a "pedagogy of pessimism."In this short response essay, I offer some cursory criticisms of each of these analyses in turn.Although I am mostly sympathetic to Davis's claims, I argue that there are also some amendments and additions to these arguments that are worth considering. THE PROBLEM OF ILLUSIONIn the first section of his essay, Davis outlines the "problem of illusion" that he suggests is taking over our culture.He reprises Neil Postman's thesis that our current existence corresponds much more to Aldous Huxley's Brave New World dystopia than George Orwell's 1984, and further argues that new information technology is exacerbating this problem and drawing us closer to the end result of a "consumptionbased culture."
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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 | 0.010 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.043 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.012 |
| Insufficient payload (model declined to judge) | 0.005 | 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".