Club-Isomorphisms of Aronszajn Trees in the Extension with a Suslin Tree
Bibliographic record
Abstract
We show that, under PFA.S/, a coherent Suslin tree forces that every two Aronszajn trees are club-isomorphic. . Todorevi [27] introduced the proper forcing axiom PFA.S/. This axiom asserts that there exists a coherent Suslin tree S such that the forcing axiom holds for every proper forcing notion P which preserves that S is Suslin, that is, for any set D I 2 ! 1 of @ 1 -many dense open subsets of P, there exists a filter of P which intersects all of the D 's. We note that, under the existence of a supercompact cardinal, PFA.S/ can be forced by the use of the theorem due to Miyamoto [16, Theorem 1.3] (see Theorem 2.1 below).
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".