Containing Coronavirus part 1 - Getting to know COVID-19
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 novel coronavirus outbreak continues to spread, with more than 30 cases verified in Canada and cases in more than 80 countries around the world. On this episode of This Is Why, we begin a two-part series looking at the biological and psychological aspects of COVID-19.Contact:Adam Toy - @Adam_Toy on TwitterDave McIvor - @d_mac1519 on TwitterThis is Why - @ThisIsWhy on TwitterEmail us - thisiswhy@globalnews.caGuests:Dr. Chris Mody, head of the department of Microbiology, Immunology & Infectious Diseases at the University of CalgaryDr. Steven Taylor, professor and clinical psychologist at UBC & author of \\"The Psychology of Pandemics: Preparing for the next global outbreak of infectious disease\\"
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) | 0.256 | 0.007 |
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