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 This book defends an original and pluralist theory of when and why discrimination wrongs people. Sophia Moreau argues that although all cases of wrongful discrimination involve a failure to treat some people as the equals of others, these failures are importantly different. The first four chapters of the book explore different ways of failing to treat people as equals: through unfairly subordinating some to others, through violating someone’s right to a particular deliberative freedom, and through denying some people access to a basic good. Chapter Five explains why these different wrongs can be seen as parts of a coherent theory of wrongful discrimination, and it presents some of the explanatory advantages of that this theory has over others. Chapter Six argues that the theory enables us to see indirect discrimination as wrongful for many of the same reasons as direct discrimination, and that both should be seen as forms of negligence. Finally Chapter Seven argues that the duty to treat others as equals is a duty held not just by the state, but also by each individual member of society.
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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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