Bibliographic record
Abstract
We show that there are $n!$ matchings on $2n$ points without, so called, left (neighbor) nestings. We also define a set of naturally labelled $(2+2)$-free posets, and show that there are $n!$ such posets on $n$ elements. Our work was inspired by Bousquet-Mélou, Claesson, Dukes and Kitaev [J. Combin. Theory Ser. A. 117 (2010) 884―909]. They gave bijections between four classes of combinatorial objects: matchings with no neighbor nestings (due to Stoimenow), unlabelled $(2+2)$-free posets, permutations avoiding a specific pattern, and so called ascent sequences. We believe that certain statistics on our matchings and posets could generalize the work of Bousquet-Mélou et al. and we make a conjecture to that effect. We also identify natural subsets of matchings and posets that are equinumerous to the class of unlabeled $(2+2)$-free posets. We give bijections that show the equivalence of (neighbor) restrictions on nesting arcs with (neighbor) restrictions on crossing arcs. These bijections are thought to be of independent interest. One of the bijections maps via certain upper-triangular integer matrices that have recently been studied by Dukes and Parviainen [Electron. J. Combin. 17 (2010) #R53]. Nous montrons qu'il y a $n!$ couplages sur $2n$ points sans emboîtement (de voisins) à gauche. Nous définissons aussi un ensemble d'EPO (ensembles partiellement ordonnés) sans motif $(2+2)$ naturellement étiquetés, et montrons qu'il y a $n!$ tels EPO sur $n$ éléments. Notre travail a été inspiré par Bousquet-Mélou, Claesson, Dukes et Kitaev [J. Combin. Theory Ser. A. 117 (2010) 884―909]. Ces auteurs donnent des bijections entre quatre classes d'objets combinatoires: couplages sans emboîtement de voisins (dû à Stoimenow), EPO sans motif $(2+2)$ non étiquetés, permutations évitant un certain motif, et des objets appelés suites à montées. Nous pensons que certaines statistiques sur nos couplages et nos EPO pourraient généraliser le travail de Bousquet-Mélou et al. et nous proposons une conjecture à ce sujet. Nous identifions aussi des sous-ensembles naturels de couplages et d'EPO qui sont énumérés par la même séquence que la classe des EPO sans motif $(2+2)$ non étiquetés. Nous donnons des bijections qui démontrent l'équivalence entre les restrictions sur les emboîtements (d'arcs voisins) et les restrictions sur les croisements (d'arcs voisins). Nous pensons que ces bijections présentent un intérêt propre. L'une de ces bijections passe par certaines matrices triangulaires supérieures à coefficients entiers qui ont été récemment étudiées par Dukes et Parviainen [Electron. J. Combin. 17 (2010) #R53].
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.004 |
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".