Advanced Life Support Research and Technology Transfer at the University of Guelph
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
Abstract Research and technology developments surrounding Advanced Life-Support (ALS) began at the University of Guelph in 1992 as the Space and Advanced Life Support Agriculture (SALSA) program, which now represents Canada’s primary contribution to ALS research. The early focus was on recycling hydroponic nutrient solutions, atmospheric gas analysis and carbon balance, sensor research and development, inner/intra-canopy lighting and biological filtration of air in closed systems. With funding from federal, provincial and industry partners, a new generation of technology emerged to address the challenges of deploying biological systems as fundamental components of life-support infrastructure for long-duration human space exploration. Accompanying these advances were a wide range of technology transfer opportunities in the agri-food and health sectors, including air and water remediation, plant and environment sensors, disinfection technologies, recyclable growth substrates and advanced light emitting diode (LED) lighting systems. This report traces the evolution of the SALSA program and catalogues the benefits of ALS research for terrestrial and non-terrestrial applications.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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