'Shark Tank' star to run for Conservative leadership in Canada
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
"Shark Tank" cast member Kevin O'Leary announced Wednesday he is running for the leadership of Canada's opposition Conservative Party. Canada is getting its own reality show politician.Kevin O'Leary, who is a cast member on the American show "Shark Tank," says he's running for the leadership of Canada's opposition Conservative Party.O'Leary is is a businessman and television commentator who has drawn comparisons to U.S. President-elect Donald Trump.Mark Burnett, who created "The Apprentice" with Trump, also produced "Shark Tank."On the show, entrepreneurs try to convince a cast of tycoons to invest in their ideas.O'Leary is best known in Canada as a former bombastic judge on CBC's "Dragons' Den," a Canadian equivalent of "Shark Tank."He says the party needs a candidate who can beat Liberal Prime Minister Justin Trudeau and bring jobs back to Canada. ...and he says he can handle Trump better than Trudeau can.O'Leary is competing against 13 lower-profile candidates.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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