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
According to OECD definitions of rural regions, around one in five Canadians live in Canada’s rural regions, which accounts for 97.1% of total Canadian landmass and over a third (36.4%) of the OECD’s overall rural regional landmass. Like most countries, rural regions have lower aggregate gross domestic product (GDP) than urban areas but unlike many countries, those gaps are closing in Canada. The rural-urban income gap in 2020 was half the size it was in 2000 and, between 2010 and 2020, average annual labour productivity growth in rural areas (2.4%) outpaced urban areas (1.9%). Inequalities in high-technology innovation between rural and metropolitan regions are also relatively low compared to OECD countries. From 2016 to 2020, the difference in average patenting intensity, measured as the number of patents per capita, between rural remote regions and metropolitan regions was 0.08 in Canada, compared to an OECD average of 0.15.
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) | 0.002 | 0.002 |
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