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 In a series of papers, Elizabeth Barnes and Robert Williams have developed a theory of metaphysical vagueness in which they argue for legitimacy of vague object and indeterminate identity. In his recent paper, Ken Akiba raises two objections against Barnes-Williams theory, concluding that it is ill-conceived and wrong-headed . In one objection, he argues that the theory implies indeterminate identity between referentially determinate objects to which λ -abstraction is applicable, and hence Evans’ argument ultimately goes through. In the other, he objects that Barnes-Williams theory also fails to block Salmon’s argument. This paper discusses the two objections. It argues that there are legitimate reasons for rejecting both, and hence to revive Barnes-Williams theory. Furthermore, it is shown that the objections, while unsuccessful, are helpful in revealing the limitations of Barnes-Williams theory.
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 | 0.003 |
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