Effective computations of abelian complexities
Bibliographic record
Abstract
In combinatorics on words, a conjecture due to Parreau et al. in 2015 claims that, given an abstract numeration system S, the k-abelian complexity (a generalization of the abelian complexity due to Karhumäki et al. in 2013) of an S-automatic sequence is itself S-regular. Some isolated instances for this conjecture have been identified, but no large family of sequences. In this talk, such a family of sequences is exhibited, which are fixed points of Pisot-type substitutions and for which the abstract numeration system is the classical Dumont-Thomas numeration system associated with the substitution. This is a joint work with J.-M. Couvreur (Orléans, France), M. Delacourt (Orléans, France), N. Ollinger (Orléans, France), P. Popoli (Liège, Belgium), and J. Shallit (Waterloo, Canada).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".