We are scientists and engineers testing NASA's James Webb Space Telescope, which is the scientific successor to the Hubble, AMA!
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Hello! We are scientists and engineers working at NASA Goddard, and leading the current testing on the James Webb Space Telescope in NASA Johnson’s historic Chamber A. Why is this testing notable? Chamber A is a giant thermal vacuum chamber, and our telescope is undergoing a ~100 day, end-to-end test at extremely cold temperatures, in a space-like vacuum inside of it. We’ll answer questions about why Webb has to perform in extreme cold, why NASA built a giant, infrared telescope, and what cryogenic testing is all about. We’ll be online for an hour or so on Thursday October 19th, at 1pm ET for questions, and we will be checking back in periodically after the Q&A for other questions. NASA’s James Webb Space Telescope (Webb) is the world’s premier space telescope of the next decade. It will delve deeper into our solar system, look beyond to distant worlds around other stars, and help us to learn more about the universe and our place in it. Webb is an international collaboration among NASA, the European Space Agency (ESA), and the Canadian Space Agency (CSA). Answering your questions: Mark Voyton: Optical Telescope Element and Integrated Science Instrument Module Manager Juli Lander: Deputy Optical Telescope Element and Integrated Science Instrument Module Manager Randy Kimble: Integration & Test Project Scientist Lee Feinberg: Optical Telescope Element Manager & Optical Telescope Element and Integrated Science Instrument Module Technical Lead. ETA: We are about done for today - but we’ll check back in tomorrow. Thanks so much for all the excellent questions, we had a great time!
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 it