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 At the beginning of Posterior Analytics 2.19 Aristotle reminds us that we cannot claim demonstrative knowledge (epistêmê apodeiktikê) unless we know immediate premisses, the archai of demonstrations. By the end of the chapter he explains why the cognitive state whereby we get to know archai must be Nous. In between, however, Aristotle describes the process of the acquisition of concepts, not immediate premisses. How should we understand this? There is a general agreement that it is Nous by means of which we acquire both premisses and concepts. I argue that this cannot be the case. Since concepts are simples while premisses are composites (predications of concepts), the two cannot be objects of the same cognitive state. I further argue that, whereas Nous is responsible for our grasp of concepts, the state Aristotle elsewhere calls non-demonstrable knowledge is the one whereby we get to know the premisses of demonstrations.
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