Bibliographic record
Abstract
In this talk we provide a natural complement to Monod and Shalom's orbit equivalence superrigidity theorem for irreducible actions of product groups by providing a large class of product actions whose orbit equivalence relation remember the product structure. More precisely, we show that if a product $\\Gamma_1\\times\\dots\\times\\Gamma_n \\curvearrowright X_1\\times\\dots\\times X_n$ of measure preserving actions is stably orbit equivalent to a measure preserving action $\\Lambda\\curvearrowright Y$, then $\\Lambda\\curvearrowright Y$ is induced from an action $\\Lambda_0\\curvearrowright Y_0$ and there exists a direct product decomposition $\\Lambda_0=\\Lambda_1\\times\\dots\\times\\Lambda_n$ into $n$ infinite groups. Moreover, there exists a measure preserving action $\\Lambda_i\\curvearrowright Y_i$ that is stably orbit equivalent to $\\Gamma_i\\curvearrowright X_i$, for any $1\\leq i\\leq n$, and the product action $\\Lambda_1\\times\\dots\\times\\Lambda_n\\curvearrowright Y_1\\times\\dots\\times Y_n$ is isomorphic to $\\Lambda_0\\curvearrowright Y_0$.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.003 |
| 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".