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
Over the past decade, Canadians have seen our armed forces increasingly deployed in response to environmental disasters. In 1996, the Saguenay River in eastern Quebec flooded, destroying homes in the region and bursting hydroelectric dams. In 1996 the Red River overflowed its banks, flooding large areas of central Manitoba; the largest Canadian military force deployed since the Korean War (8400 personnel) was sent in to contain the flood and deliver emergency supplies under Operation Assistance. In response to the Ice Storm in 1998, which left millions of Canadians in Quebec and eastern Ontario without power, the Department of National Defence launched Operation Recuperation, which it called “the largest deployment of troops ever to serve on Canadian soil in response to a natural disaster” (www.forcesgc.ca/site/operations/recuperation_e.asp). Climate change and the growing incidence of extreme weather mean we have most likely not seen the last of this new humanitarian role for the military.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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