Turning Taps, New Economy?, and China vs. Canada
Bibliographic record
Abstract
Taps are turning...or are they? - Jason Kenney has officially proclaimed the Notley legislation to Turn off the Taps. What does this mean? Is this even legal? Eric Adams - Professor, University of Alberta, Faculty of Law joins the show.New gov't, new economy - how to balance the AB budget - a new report published by the School of Public Policy, \\"Balancing Alberta's Budget by 2022 is Only Part of Alberta's Long-Run Fiscal Challenge\\" was released today. Trevor Tombe - author, economist, associate professor, University of Calgary Economics Department joins the show.Canada vs China - how should we push back? In light of the canola conundrum, some are saying Canada needs to take a stand. What options do we have? Charles Burton - associate prof., Brock U., specializing in comparative politics, Gov't/politics of China, Canada-China relations & Human Rights; former Counsellor at the Canadian Embassy to China between 1991-1993 & 1998-2000 joins the show.Learn more about your ad choices. Visit megaphone.fm/adchoices
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) | 0.318 | 0.003 |
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; both teacher heads agree on what is shown here.
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".