Towards Sustainable Performance Measurement Frameworks for Applied Research in Canadian Community Colleges and Institutes
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
Applied Research (AR) in Canadian community colleges is driven by a mandate, via the collective voice of Colleges and Institutes Canada – a national voluntary membership association of publicly supported colleges and related institutions – to address issues of interest to industry, government, and/or community. AR is supported through significant federal and provincial level funding mechanisms as well as funding from the private sector. Performance measurement tools have largely been developed by government agencies such as the Natural Sciences and Engineering Research Council (NSERC) and the National Research Council of Canada (NRC), which are external to the colleges that engage in AR. This paper presents an overview of AR in Canadian community colleges and institutes and provides recommendations for the development of sustainable performance measurement frameworks for AR in Canadian community colleges and institutes.
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 | 0.049 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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