An Affordable, Low-Risk Approach to Launching Research Spacecraft as Tertiary Payloads
Bibliographic record
Abstract
Rapid and affordable access to space for university researchers and educators has always been a challenge. Despite the availability of lower-cost (e.g. Russian) launch vehicles, launching payloads 20 kg or less typically involves a certain minimum cost that necessitates a cost sharing arrangement among numerous parties and the handling of complex export control issues. In turn, this complicates mission scheduling and increases the risk of missing launch deadlines. The University of Toronto Institute for Aerospace Studies, Space Flight Laboratory (UTIAS/SFL) has taken a leading role in addressing this challenge, and has successfully led a group of international spacecraft developers in manifesting one 1-kg Canadian spacecraft, two 1- kg Danish spacecraft, and one 3-kg American spacecraft on a 2003 Eurockot launch. This paper outlines the approach taken by UTIAS/SFL in negotiating and securing launches for its own spacecraft in collaboration with other spacecraft developers. A summary of how this approach is applied in planning and coordinating the June 2003 Eurockot launch is also presented.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.005 |
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".