Systems modeling of space medical support architecture: Topological mapping of high level characteristics and constraints
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
The challenges associated with providing medical support to astronauts on long duration lunar or planetary missions are significant. Experience to date in space has included short duration missions to the lunar surface and both short and long duration stays on board spacecraft and space stations in low Earth orbit. Live actor, terrestrial analogue setting simulation provides a means of studying multiple aspects of the medical challenges of exploration class space missions, though few if any published models exist upon which to construct systems-simulation test beds. Current proposed and projected moon mission scenarios were analyzed from a systems perspective to construct such a model. A resulting topological mapping of high-level architecture for a reference lunar mission with presumed EVA excursion and international mission partners is presented. High-level descriptions of crew operational autonomy, medical support related to crew-member status, and communication characteristics within and between multiple teams are presented. It is hoped this modeling will help guide future efforts to simulate medical support operations for research purposes, such as in the use of live actor simulations in terrestrial analogue environments.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it