SWIGS: A New UK Research Consortium to Study ‘Space Weather Impacts on Ground-based Systems’
Bibliographic record
Abstract
The British Geological Survey leads a new UK Natural Environment Research Council funded study into ‘Space Weather Impacts on Grounded Structures’ (SWIGS), through a four-year research project that started in May 2017. The SWIGS consortium of ten UK institutes and universities will research links between the magnetosphere and ionosphere, the generation of geo-electric fields, through interaction of geomagnetic variations with the solid Earth, and the impact of enhanced geomagnetic activity on ground infrastructures such as high voltage power grids, rail and pipeline networks. SWIGS is supported by an industry stakeholder group and a group of international project partners that includes advisors and experts from the Finnish Meteorological Institute, Natural Resources Canada, UK Met Office, North China Electric Power University, and the Universities of Cape Town, Otago, Trinity College Dublin, Frankfurt, Gottingen, John Hopkins and Beihang. In addition to research that improves physical models of the space weather interaction with Earth’s space environment and the space weather threat to ground level technologies, SWIGS will also promote workshops and other meetings. In this poster presentation, we outline some of the primary questions we want to answer within SWIGS and we detail the research goals of the project.
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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 | 0.156 | 0.039 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.010 | 0.004 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.011 | 0.001 |
| Open science | 0.026 | 0.024 |
| Research integrity | 0.001 | 0.025 |
| Insufficient payload (model declined to judge) | 0.016 | 0.112 |
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; both teacher heads agree on what is shown here.
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".