Strategic science in the public interest : Canada's government laboratories and science-based agencies
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
AcknowledgmentsAbbreviationsIntroductionPart One: Historical Context and Analytical Framework Government S&T Labs and Agencies as Institutions: Towards Middle-Level Approaches Analytical ApproachPart Two: Case Studies of R&D-Focused Labs and RSA-Focused Agencies The CANMET Mining and Mineral Sciences Laboratories and Canada's Transformed Mining Sector The CANMET Energy Technology Centre--Devon and the Alberta Oil Sands The Environmental Technology Centre and Environmental Protection The National Wildlife Research Centre and Frontline Sustainable Development Related Science Activities in the Regulatory and Monitoring Process ConclusionsAppendix: Canadian and Comparative Science and Technology DataReferencesIndex
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 | 0.039 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.009 |
| Science and technology studies | 0.002 | 0.014 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.009 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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