Metasurfaces Exhibiting Strongly-Spatially-Dispersive Magneto-Electric Coupling: Misnomer or Critical Degree of Freedom?
Bibliographic record
Abstract
Spatial dispersion or non-locality is a characteristic of electromagnetic (EM) materials wherein the EM response (e.g., polarization) at a certain location depends not only on the local EM fields at the same location but also those at surrounding locations (Landau et al., Electrodynamics of Continuous Media, Oxford: Pergamon Press Ltd, 1984). This is mathematically expressed by the use of integral transforms, whose tensor kernel represents the characteristics of the spatial dispersion. This behavior is in contrast to most EM materials, e.g., ordinary dielectrics, whose EM response depends only on the local field and can be mathematically expressed by point-wise equations. (Alternatively, any spatial dispersion is negligible and can be ignored.) These latter materials can be described as being local or non-spatially-dispersive. The concept of spatial dispersion is simply the spatial analog of the more commonly seen concept of temporal dispersion.
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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 | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".