GG33: Joseph Dashou - The Canadian Lone Wolf in Minnesota
Bibliographic record
Abstract
Episode 33 of the Guillotine Grapevine visits with "Canadian Joe" Joseph Dashou, a new wrestler training with the Minnesota Storm in Greco-Roman. Dashou, originally from London, Ontario, was living in British Columbia before deciding to make the move to Minnesota to get Greco-Roman training full-time. Despite only wrestling since his 12th grade year in Canada, Dashou has hopes to represent Canada in what some believe has been a forgotten style. The Canadians have a strong women's freestyle program and have seen success in men's freestyle as well. Greco-Roman competitors have been sparse over the past decade. Dashou explains how he came to live with some current Gopher wrestlers while training with the Storm and what the experience has been like with one of the nation's finest and most respected wrestling clubs. SUBSCRIBE TO THE GUILLOTINE GRAPEVINE Apple Podcasts | Stitcher | Spreaker | Google Play Music | RSS JOIN THE TEAM And if you're a fan of the extensive and broad-based reach of the shows on the Mat Talk Podcast Network, become a TEAM MEMBER today. There are various levels of perks for the different levels of team membership. If you like wrestling content -- scratch that -- if you LOVE great wrestling content, consider becoming a team member. You'll get some cool stuff too. Looking to start a podcast of your own? Get a free month with Libsyn by using the promo code MTO when you sign up. You'll get the remainder of the month from when you sign up as well as the next month free. It'll be enough time to kick the tires and lights some fires.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.709 | 0.118 |
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".