Conservative Finance critic Pierre Poilievre shares why he thinks the government is fixing the issue the wrong way and what the impacts of inflation look like to the average Canadian. Economist Trevor Tombe helps us understand the economic impacts of the Bc Floods, how we can address the supply issues, and what's to come. Plus, Ruok with a delivery driver going number 2 in your lobby? What about a dog that has more money than you?
Bibliographic record
Abstract
Shane accuses Ryan of rigging the Tiny Wheel! An investigation has been launched. Ruok with a delivery driver going number 2 in your lobby? What about a dog that has more money than you?How can we keep inflation under control in Canada. Conservative Finance critic Pierre Poilievreshares why he thinks the government is fixing the issue the wrong way and what the impacts of inflation look like to the average Canadian. 2.5 billion dollars are being disrupted during the BC floods. Economist Trevor Tombe helps us understand the economic impacts of the Bc Floods, how we can address the supply issues, and what's to come. HEY, DO YOU LIKE PODCASTS? Why not subscribe to ours?find it on Apple, Google, Spotify & Curiouscast.ca
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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".