Our brightly‐lit future: Exploring the potential for astrotourism in Khajuraho (India)
Bibliographic record
Abstract
The night skies have traditionally offered a means of navigation, symbolized the gods, and inspired architecture and creative planning. With the advent of urbanization and the consequent increase in artificial light at night (ALAN), humans have severed their connection with the skies. Some suggest that “astrotourism” may serve as a viable means of re‐establishing this relationship. While astrotourism is usually used for referring to activities that revolve around stargazing with “aided” or “naked” eyes, we highlight that there is scope to include exploration of historic monument ensembles and night‐time storytelling as a part of astrotourism. Focusing on Khajuraho, we further underscore that ALAN should be replaced with intelligent night lighting strategies to maximize the night‐time travel experience for those who take inspiration from the dark skies to reconstruct the historical significance of heritage. As we gradually revitalize our relations with the nocturnal environment, it is hoped that the night skies will infuse our social practices, creative imagination, and historical appreciation with a new vigour.
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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 | 0.001 | 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 | 0.013 | 0.008 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".