Science, Technical and Strategic benefits of Canadian partnership with Subaru
Bibliographic record
Abstract
Recent developments have opened up an opportunity to join the Subaru telescope under favourable terms. With the demonstrated success of SCExAO and HSC, and first light of the PFS nearly upon us, the immediate prospects for Subaru to make breakthrough discoveries that align well with Canadian interests are excellent. In this white paper we describe the scientific and technical (instrumentation) opportunities that a partnership with Subaru would enable. IWe highlight the important synergies with TMT, MSE and Euclid, and how a relatively small investment in Subaru can significantly enhance our ability to take advantage of those facilities. In particular, access to PFS in the decade before MSE sees first light will be critical for ensuring Canadians have the technical and scientific expertise to fully exploit, and lead, science with that next generation spectroscopic facility. The partnership also has strategic value, as it represents an important step toward building an alliance of observatories on Maunakea, which itself has the potential for dramatically increasing scientific impact and reducing costs.
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.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".