RESPONSIBLE ACTION Citizens ’ Dialogue on the Long-term Management of Used Nuclear Fuel
Bibliographic record
Abstract
Responsible Action – Citizens ’ Dialogue on the Long-term Management of Used Nuclear Fuel CPRN is a not-for-profit policy think-tank based in Ottawa. It has been using public dialogue for a number of years as a means to involve citizens more directly in research and public policy discussions on issues such as health care reform, quality of life indicators, Canada’s children, aging and the society we want. You can obtain further information about CPRN and its work in public involvement and other policy areas at www.cprn.org CPRN developed this citizens ’ dialogue, adapting Viewpoint Learning Inc.’s ChoiceWork Dialogue methodology. The dialogue is designed to give decision makers a deeper understanding of citizens ’ value-based policy choices and to predict the future direction of people’s preferences on important issues. CPRN initially used this methodology in the Dialogue on the Future of Health Care in Canada (Romanow Commission), and has since adapted it for use in policy
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.
How this classification was reachedexpand
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) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".