Glassy dynamics and domains: Explicit results for the East model
Bibliographic record
Abstract
A general matrix-based scheme for analyzing the long-time dynamics in kinetically constrained models such as the East model is presented. The treatment developed here is motivated by the expectation that slowly relaxing spin domains of arbitrary size govern the highly cooperative events that lead to spin relaxation at long times. To account for the role of large spin domains in the dynamics, a complete basis expressed in terms of domains of all sizes is introduced. It is first demonstrated that accounting for single domains of all possible sizes leads to a simple analytical result for the two-time single-spin correlation function in the East model that is in excellent quantitative agreement with simulation data for equilibrium spin-up density values c > or = 0.6. It is then shown that including also two neighboring domains leads to a closed expression that describes the slow relaxation of the system down to c approximately 0.3. Ingredients of generalizing the method to lower values of c are also provided, as well as to other models. The main advantage of this approach is that it gives explicit analytical results and that it requires neither an arbitrary closure for the memory kernel nor the construction of an irreducible memory kernel. It also allows one to calculate quantities that measure heterogeneity in the same framework, as is illustrated on the neighbor-pair correlation function, the average relaxation time, and the width of the distribution of relaxation times.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".