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
Update from KLRSAt the Kluane Lake Research Station (KLRS), 2017 was a busy year of upgrades and improvements to bring the station into alignment with the policies and practices of our home institution, the Arctic Institute of North America, University of Calgary.These improvements included firesmarting, bringing the kitchen up to commercial code, distribution of safety equipment, and refurbishment of all stoves and chimneys to meet safety codes.Oil-drip and propane stoves have been replaced with wood stoves using locally sourced wood, in pursuit of our goal to wean the station off fossil fuels.Two new high-speed satellite dishes were added to double the Wi-Fi capability, and new solar and battery systems were installed to support year-round Internet and phone availability.AINA has continued to meet its research and education mandate through KLRS, hosting a rich array of station users in summer 2017.We were successful in securing
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) | 0.001 | 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