An Iterative Subsystem-Generated Approach to Populating a Satellite Constellation Tradespace
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
‡Tradespace exploration provides a structured, concept neutral means of considering a large number of design alternatives while avoiding a premature focus on point designs. However, the process can be difficult to implement in the design of complex space systems when considering practical partitioning and allocation of design tasks. Complicating the effort further is the existence of many subsystem interactions that must be considered in order to assemble a system level tradespace. This paper presents a process used to populate and analyze the tradespace for an example constellation of Earth observation satellites, by analyzing individual subsystem level trades in parallel and capturing system level interactions at key nodal checkpoints. The process is shown to allow for practical development of tradespace knowledge, leveraging subsystem-level design expertise, as well as identifying novel design alternatives at the intersection of subsystem proposed alternatives.
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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