Bibliographic record
Abstract
Beginning in 1994, the astronomy research group at Valparaiso University has been studying the light curves of Proto-Planetary Nebulae (PPNe). In addition, we have also have been studying a few stars with similar properties. For one of these stars, 89 Her, a semi-regular pulsating binary star, we have been collecting brightness data since 1994 and have continued to do so up to the present time. These data were combined with data published Fernie in order to look for periodicity in the data. In addition to that, we combined radial velocity data from a collaborator in Canada with data published Waters in order to find periodicity. The periods found can be used to determine some of the properties of the star. From the brightness data in the R and V filters, I have determined one period of approximately 283 days in both V and R, a second period of 76.6 days in R and 65 days in the V, and a third period of 67 days in the V. From the radial velocity data, I have determined one dominant period of 290 days and two additional periods of 65 days and 61 days respectively. The longer period of approximately 283 days is thought to be due to light variation from the binary system. The shorter periods ranging from 60-80 days are due to the expanding and contracting of the main star. This research is supported by grants from the NSF and from NASA through the Indiana Space Grant Consortium.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".