Global Astronomy Month - An Annual Celebration of the Universe
Bibliographic record
Abstract
Abstract One of the most successful global outreach efforts in history was the International Year of Astronomy 2009. With the momentum created by this year long program, it was important to take the efforts to coming years. The Astronomers Without Borders organization captured the energy of the International Year of Astronomy 2009 and refocused it as an ongoing annual celebration of the Universe by organizing Global Astronomy Month, a worldwide celebration of astronomy in all its forms, every April. In 2010, the program saw professionals and amateur astronomers, educators and astronomy enthusiasts from around the globe participating together in the spirit of International Year of Astronomy 2009 and provided a global stage for established programs and a framework for partnerships. The 2011 version of the program saw much bigger participation with several global partner organizations joining in creating more than 40 global level programs throughout the month. Within a short period of two years, Global Astronomy Month has evolved to a much needed global platform after International Year of Astronomy 2009.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.048 | 0.012 |
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".