An Initial Retrospective on the International Year of Astronomy 2009 in Canada
Bibliographic record
Abstract
Ab s t r ac t: Canada’s IYA vision, “To offer an engaging astronomy experience to every person in Canada, and to cultivate partnerships that sustain public interest in astronomy, ” resounded with diverse partners, collaborators, and volunteers throughout the land, exceeding our ambitious expectations. More than 3600 extremely diverse events provided engaging astronomy experiences to more than 1.9 million Canadians, young and old. Extensive media exposure brought IYA awareness to millions more. IYA legacy activities, with a strong focus on improving opportunities for youth in underserved communities (inner cities, rural, Aboriginal, etc.), are underway, as we briefly describe. A longer final report, with extensive appendices, is being posted on the Canadian IYA Web site, as well as on partner Web sites.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.012 | 0.026 |
| Science and technology studies | 0.014 | 0.002 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.024 | 0.005 |
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".