Research Magazine Spring 2008 - Focus: Canada Foundation for Innovation
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
In this issue: A decade of CFI funding; Supercomputer network battles disease spread; Centre supports broad spectrum of research; Getting the scoop on neck pain; Osteoarthritis: Bad to the bone; Learning to stand on your own two feet; The feline connection to AIDS; Enhancing breast cancer treatment; The search for new antibiotics; Epilepsy research advancing with new technology; Looking for the neurological cause of nausea; A new way to manage weight; Where electrical and chemical energy meet; The effect of vision on walking; Calling all tourists; A literary trip across Canadian cultures; From electronics to spintronics; Tomatosphere brings outer-space tomatoes inside the classroom; Re-creating the red planet; Measuring tiny particles; The challenges of climate change; Protecting one of the world's great sport fisheries; Controlling the lamprey; Preserving freshwater resources; Recycled waste water to help protect water resources; Interrupting heart failure; A cue from bacteria; A new method for cataloguing Earth's species; Developing genetic resistance to Marek's disease; Stress during pregnancy can cause lasting effects; Winning the fight against bacterial blight; Institute for food safety keeps bacteria at bay; The dangers of multi-tasking while driving; Technology, the artist and the internet
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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