Evaluation of RT&D: from 'prescriptions for justifying' to 'user-oriented guidance for learning'
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 measurement and evaluation of research, technology and development (RT&D) has gone through phases over the past 50 years. Over time, high-level measures such as total expenditures on R&D, overall citations and patent production have given way to more contextualized metrics recognizing the inherent differences in innovation subject areas and the need to show mission achievement. This article shows how recently proposed Canadian Academy of Health Sciences (CAHS) metrics were adapted to help frame a case study conducted by the Canadian Cancer Society Research Institute (CCSRI). Early results suggest that the framework provides a useful structure to display both a hierarchy of results focused on mission goals, and to build an attributable RT&D and innovation story over time. With this work and other recent developments, evaluation appears poised to go beyond retrospective justification and to become a fully legitimate part of strategic learning for RT&D initiatives.
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 | 0.338 | 0.637 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.029 | 0.063 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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