Bibliographic record
Abstract
We have carried out Fourier and wavelet analysis of long-term AAVSO visual observations of 14 RV, SRd, CW and related variable stars in some detail, and of 27 other such variables in less detail. The purpose was to investigate aspects of their complex variability, especially long-term changes in pulsation period, amplitude, and mean magnitude, and also the possible relationships between these types of variables. The mean amplitude variability does not seem to be a function of period, and is similar in RV and SRd stars. We have studied the periods of bimodal variables; there are very few with period ratios different from 2:1. We note with interest the apparent scarcity of "long secondary periods" in SRd stars, as compared with RV variables (the RVb phenomenon) which is believed to be due to binarity. We use wavelet analysis to study possible evolutionary period changes, as an alternative to the usual (O-C) method. We include miscellaneous comments on 17 stars in our total sample. Finally: we note that mean pulsational amplitudes of these stars, determined by Fourier analysis, are smaller than values determined by wavelet analysis, presumably because of the ":wandering" periods in these stars.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".