Bibliographic record
Abstract
This thesis considers three restricted universes of partizan combinatorial games and finds new results for misere play using the recently-introduced theory of indistinguishability quotients.\nThe universes are defined by imposing three different conditions on game play: alternating, dicot (all-small), and dead-ending. General results are proved for each main universe, which in turn facilitate detailed analysis of specific subuniverses. In this way, misere monoids are constructed for alternating ends, for pairs of day-2 dicots, and for normal-play numbers, as well as for sets of positions that occur in variations of nim, hackenbush, and kayles, which fall into the alternating, dicot, and dead-ending universes, respectively.\nSpecial attention is given to equivalency to zero in misere play. With a new sufficiency condition for the invertibility of games in a restricted universe, the thesis succeeds in demonstrating the invertibility (modulo specific universes) of all alternating ends, all but previous-win alternating non-ends, all but one day-2 dicot, over one thousand day-3 dicots, hackenbush ‘sprigs’, dead ends, normal-play numbers, and partizan kayles positions.\nConnections are drawn between the three universes, including the recurrence of monoids isomorphic to the group of integers under addition, and the similarities of universe-specific outcome determinants. Among the suggestions for future research is the further investigation of a natural and promising subset of dead-ending games called placement games.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".