Aging and memory effects in zero-field-cooled collections of two-level subsystems
Bibliographic record
Abstract
Numerical simulations of the temperature and time dependence of the moment of a collection of thermally activated, interacting two-level subsystems, explicitly prepared under zero-field-cooled (ZFC) conditions, are presented, which clearly demonstrate that such systems do indeed exhibit aging and memory effects analogous to those observed in collectively frozen spin glasses. In particular, if zero-field cooling at a constant cooling rate is interrupted temporarily by aging in zero field at a constant temperature ${T}_{a}$ for a time $\ensuremath{\Delta}{t}_{a}$ before the system is subsequently probed by the application of a magnetic field, then the aged moment, measured either as a function of temperature $T$ on warming at a fixed rate, or as a function of observation time $\mathrm{ln}\phantom{\rule{0.2em}{0ex}}t$ at fixed temperature ${T}_{a}$, will lie below the unaged moment, and the difference between the aged and unaged response functions will exhibit an anomaly in the vicinity of either the aging temperature or the aging time, depending on the experiment which is performed.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".