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
Some operators on families of fuzzy languages and their monoids, P.R.J. Asveld liars, demons, and chaos, C.S. Calude et al conditional grammars with restrictions by syntactic parameters, J. Dassow circularity and other invariants of gene assembly in ciliates, A. Ehrenfeucht et al catenation closed pairs and forest languages, C-M Fan and H-J Shyr valence grammars with target sets, H. Fernau and R. Stiebe minimal recognizers and syntactic monoids of DR tree languages, F. Gecseg and M. Steinby visualizing languages using primitive powers, T. Head disjunctivity, H. Jurgensen string operations suggested by DNA biochemistry - the balanced cut operation, L. Kari and A. Pun how to generate binary codes using context-free grammars, L. Kaszonyi generation and parsing of morphism languages by uniquely parallel parsable grammars, J. Lee and K. Morita on the generative power of iterated transductions, V. Manca words, dyck paths, trees, and bijections, H. Prodinger iterated morphisms with complementarity on the DNA alphabet, A. Salomaa topologies for the set of disjunctive w-words, L. Staiger and other papers.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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