Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract A commitment to free speech is a fundamental precept of all liberal democracies. However, democracies differ significantly when addressing the permissibility of laws regulating certain kinds of speech, especially extreme speech. In the United States, for instance, the commitment to free speech has been held by the Supreme Court to protect the public expression of even the most noxious racist ideology. In contrast, in almost every other democracy governments enjoy considerable leeway to restrict racist and other types of extreme expression. What accounts for the marked differences in attitude towards the constitutionality of hate speech regulation? Does hate speech regulation violate the core free speech principle constitutive of democracy? Or do values such as the commitment to equality or individual dignity legitimately override the right to free speech in some circumstances? In attempting to answer these and other questions, this book focuses on highly topical issues such as homophobic speech, Holocaust denial, incitement to terrorism, veiling controversies, and the Danish cartoons depicting the Prophet Muhammad. It includes interdisciplinary perspectives from law, philosophy, history, psychology, and literature, and provides comparative perspectives from experts in various countries including Australia, Canada, France, Germany, Hungary, and Israel, as well as from the United States and the United Kingdom.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it