Editorial to the Topical Collection: Solar and Stellar Dynamos: a New Era
Bibliographic record
Abstract
Large-scale and small-scale dynamos generating magnetic flux are fundamental processes in astrophysics, for which solar and stellar dynamos provide crucial paradigms.During the last two decades, a wealth of new observational results, together with a new generation of large-scale numerical simulations, gave important insights in the complex interactions of turbulent convection, rotation, and magnetic fields.They permit tests and calibrations of mean-field models for the generation of large-scale magnetic flux, differential rotation, and meridional circulation in stellar convection zones.Understanding of the underlying processes and the possibiliy to compare with a broad base of observational data puts the necessary parametrizations in simplified dynamo models (e.g., "classical" α-effect models, flux-transport dynamos, or Babcock-Leighton models) on a firmer basis.At the same time, space-based observations of stars have dramatically increased the amount of information on rotation, age, magnetic activity, and cycles for a wide range of stellar parameters, thus opening the possibility to study dynamo action for a wide range of stellar parameters and evolutionary stages.These developments led to substantial progress in our understanding of the generation of magnetic fields by self-excited dynamo action in the Sun and other stars.Dynamo models addressing the variation of the magnetic field in the solar interior and at its surface in the course of the 11-yr activity cycle have become more detailed and realistic.The important processes of formation, rise, and emergence of magnetic flux loops in the course of the solar
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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 | 0.002 |
| Science and technology studies | 0.001 | 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".