Bibliographic record
Abstract
Scientific summary of the first Belgo-Indian Network for Astronomy & Astrophysics (BINA) work-shop is presented here. In the workshop, invited talks were supplemented with the contributory talks and poster paper presentations. The talks presented during the workshop provide latest information on the 3.6-m Devasthal Optical Telescope (DOT) and 4-m International Liquid Mirror Telescope (ILMT) projects. These observing fa-cilities are built jointly by the astronomical communities of India and Belgium. In the ILMT, reseachers from Canada, Poland and Uzbekistan are also actively participating. Preliminary results obtained from the on sky test indicate that 3.6-m DOT is capable of resolving binary stars separated by ~ 0.4 arc second. CCD observations obtained with the telescope indicate that atmospheric conditions at Devasthal are very good for optical observations and the site can be considered internationally competitive. Buildings and telescope houses constructed at Devasthal have not deteriorated natural seeing conditions observed at the site ~ 2 decades ago during 1997¬1999. Pointing and tracking accuracies of the 3.6-m DOT are as per specifications. All these indicate that on sky performance of the newly installed 3.6-m DOT is better than the specifications prescribed at the time of placing order. It is therefore capable of providing internationally competitive science with the modern backend instruments and also have global importance due to their geographical location particularly for the time domain and multi-wavelength astrophysical studies. A large number of talks and poster papers presented during the workshop discussed astrophysical potential of the Indian largest size (4 meter class) new technology optical telescopes located at Devasthal. All these indicate beyond doubt that there are enormous opportunities for the growth of astronomy in India.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.170 | 0.148 |
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".