Thirty Meter Telescope project status and community engagement in Hawai’i
Bibliographic record
Abstract
The Thirty Meter Telescope (TMT) is an extremely large optical-infrared telescope with diffraction-limited performance that will shape astronomy research for decades from its northern hemisphere vantage point. The TMT International Observatory (TIO) is a public-private-international partnership that unites the scientific, instrumental and industrial communities of Japan, Canada, India and the USA for this endeavor. TIO is part of the US Extremely Large Telescope Program (US-ELTP) that received the top ranking for the ground-based program in the National Academies’ decadal survey report Astro2020. This paper will describe latest progress in TMT’s design and development in all partner countries, the recent NSF Preliminary Design Review, and the many challenges and opportunities of managing a truly global collaboration. The paper will also discuss in depth our completely new approach since 2021 on community engagement in Hawai’i, genuine listening and learning from the native Hawaiian community including hundreds of people who protested against the Project, and our collaborative efforts with the community to build long-term trust and relationships.
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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 | 0.023 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.001 | 0.002 |
| 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".