The Canadian Mountain Network: Advancing Innovative, Solutions-Based Research to Inform Decision-Making
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 Canadian Mountain Network (CMN) launched in 2019 as a new national research network dedicated to the resilience and health of mountain peoples and places. Supported by complementary training, knowledge mobilization, and networking programs, CMN's research program represents a once-in-a-generation opportunity to identify and address mountain knowledge gaps in Canada. Working with Indigenous and Western ways of knowing, the Network will support decision-making and action in Canada and globally to advance sustainable mountain development. A key element of our strategy is the launch of the landmark Canadian Mountain Assessment, which will address 3 fundamental questions: what do we know, not know, and need to know about Canada's diverse and rapidly changing mountain systems? CMN is honored by the opportunity to join the International Mountain Society and looks forward to building new linkages between Canadian and international mountain research communities.
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 | 0.041 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.008 |
| Science and technology studies | 0.019 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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