Health beyond : report of the Advisory Council on Deep-Space Healthcare
Bibliographic record
Abstract
The Advisory Council on Deep-Space Healthcare was established in November 2019 with a mandate to provide the Canadian Space Agency (CSA) with detailed recommendations on the scope and implementation of a national program in deep-space healthcare. Furthermore, the Council has to identify which Canadian organizations could be suitable partners of a CSA-led collaboration that would position Canada internationally at the crossroads of spaceflight and terrestrial healthcare innovation. The overriding recommendation is for the Canadian Space Agency to advance deep-space healthcare as a new strategic Agency priority. This would require investing ample budgetary and operationally oriented human resources for a major clinical program that would advance national capability and credibility in remote healthcare. It would position Canada in a critical international role in deep-space exploration. To this end, the CSA, in coordination with founding partners, would need to immediately develop a Roadmap for Action that translates recommendations from the Advisory Council, and the antecedent Expert Group on the Potential Canadian Healthcare and Biomedical Roles for Deep-Space Human Spaceflight, into action programs leading to two goals: for the federal government to designate deep-space healthcare as Canada’s next exploration priority (an urgent near-term goal); and for NASA to assign Canada a leadership role in deep-space healthcare (a medium-term goal) as a means to enhance crew well-being and performance, and to reduce mission risk.
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 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 | 0.025 | 0.046 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.015 | 0.004 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.031 | 0.021 |
| Insufficient payload (model declined to judge) | 0.035 | 0.013 |
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".