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
Following Andrew Jason Cohen, Lucia Rafanelli construes toleration to consist in not merely limiting one’s interference with others’ behaviour, but doing so because of a principled commitment to respecting others’ independent choices. I argue that this conflates toleration with distinctly liberal ideals such as freedom of conscience or autonomy. This conflation not only impoverishes our conceptual vocabulary by using ‘toleration’ to label concepts or phenomena for which there are already perfectly good words, it also renders non-liberal conceptions or theories of toleration nonsensical by definitional fiat. This in turn risks making the historical emergence of theories and practices of toleration on purely prudential grounds – namely, reasons of state – unintelligible. Even though this does not, I think, compromise Rafanelli’s substantive normative conclusions about interference, it does raise important questions about the proper relation between contemporary political theory and the history of political thought.
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 | 0.001 | 0.005 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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