I Think, Therefore I Am; I Feel, Therefore I Am Taxed: Descartes, Tort Reform, and the Civil Rights Tax Relief Act
Bibliographic record
Abstract
A] society's choice of a system of taxation speaks volumes about what that society values and believes.[I]mposing a tax-any tax-is both powerful and manipulative.'I. INTRODUCTION I want to thank you for including me today, especially as everything I don't know about U.S. tort law could fill several large textbooks, and almost everything I do know, I learned from watching re-runs of Judging Am/ 3 and The Practice.As you will have seen from even a casual glance at the Symposium poster, I come at our topic today from the perspective of tax law.I have been interested for some time in how tax law and the tort system work together in the context of noneconomic, nonphysical, personal injury claims 5 (such as unlawful discrimination or intentional infliction of emotional distress) to produce and perpetuate stereotypes "and habitual ways of thinking about and valuing nondominant groups in our society."
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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 | 0.005 | 0.018 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".