Long-term project observations for project P885 semester 2025APRS_13
Bibliographic record
Abstract
We propose a modest program to continue monitoring 4 of the 6 known radio magnetars in order to achieve three primary science goals. The first is to characterise magnetar outbursts over long timescales, for which tracking their rotational, flux density, and polarisation properties provide a clear view of the impulse response of their magnetic fields. Second, understanding the links between magnetars the mysterious fast radio burst phenomenon through the discovery of rare emission and propagation effects, shared spectro-temporal phenomenology, and connections to high-energy (X-ray/gamma-ray) phenomena. Lastly, our continued monitoring has enormous benefit to the wider magnetar community, providing rapid alerts to changes in activity, adding context to unusual behaviour detected by high-enery observations, and a host of supplementary science through the teams extensive collaborative networks. The project and its precursors have been running since 2007 and have contributed to 21 publications since then. We are seeking to convert the project to long-term status, thereby also carrying these investigations into the SKA era.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.032 | 0.057 |
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".