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
A classical logic exhibits a threefold inner structure comprising an algebra of propositions A, a space of “truth values ” V, and a distinguished family of mappings φ from propositions to truth values. Classically A is a Boolean algebra, V = Z2, and the admissible maps φ: A → Z2 are homomorphisms. If one admits a larger set of maps, one obtains an anhomomorphic logic that seems better suited to quantal reality (and the needs of quantum gravity). I explain these ideas and illustrate them with three simple examples. From a certain point of view, the phrase “classical logic ” should be used in the plural, not the singular, because the things with which logic deals depend on the “domain of discourse”, and this can vary both with time and with the “system ” one has in mind. To each such domain corresponds its own Boolean algebra, namely the algebra A of all “questions ” one may ask about the system. 1 But there is more to a logic than just a domain of questions together with rules for combining them via and, xor, not, etc. In ⋆ To appear in a special volume of Journal of Physics, edited by L. Diosi, H-T Elze, and G. Vitiello, and devoted to the Proceedings of the DICE2006 meeting, held September
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 | 0.000 |
| 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 | 0.002 |
| Open science | 0.001 | 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