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
According to anti-individualism, the basic building blocks of the world are not individuals. The anti-individualist argues that standard, individual-entailing claims–for instance, that Theia is a cat–are mistaken in presupposing that there are individuals, but that such claims correspond to statements in a feature-placing language devoid of these presuppositions. Instead, the world is entirely made up of non-individualistic features–structurally akin to familiar examples such as it's raining or it's snowing–that are arranged in particular ways. Since features do not carve out individual differences, however, this seems to entail that there is a class of statements in an individualistic language–statements expressing mere differences in which object is which–the members of which all correspond to the same anti-individualist description. That is, anti-individualism seems to entail anti-haecceitism, according to which all differences in ways the world could be supervene on qualitative differences. In this paper, I argue that, on the contrary, the anti-individualist has the resources to accommodate non-qualitative differences among ways the world could be. Moreover, haecceitistic anti-individualism does justice to the motivations for rejecting individuals while nevertheless accommodating intuitions that certain kinds of scenarios are metaphysically distinct.
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) | 0.015 | 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 it