Lisa Raitt's 2 Scoops of BS --- The Daily Beaver Morning Show
Bibliographic record
Abstract
Hey Kits!Happy Pride Month and Happy Indigenous History MonthWeekdays at 7-ish Eastern, we livestream a (sometimes) quick take on the news, in addition to our usual formats.TODAY WE TALK ABOUT:Orange SkyThe Stanley CupGOP Nomination RaceLisa Raitt Pulls a Fast OneJohnston's Upcoming TestimonyChicken Pete ScurriesStochastic Terrorism PushBernardo ReviewDie Mutter Is Not AmusedOf Drag Queens and CheerleadersOur morning show is the purrr-fect thing for busy Kits who are on-the-go, but still want to stay engaged.This is episode 135 of the Daily Beaver Morning Show.___________________________________________________If you wish to encourage us to do more, leave us a positive review and stars on Apple Podcasts and/or buy us a cup of coffee. Just go to [https://ko-fi.com/eagerbeaver] to find your way to our tip jar.____________________________________________________Not everyone can do everything. But everyone can do something.Because #DemocracyIsSomethingYouDo...Please, help support Mr. Grizzly's effort to raise at least $1,000 for Cornerstone Housing for Women. His beard has got to go and he's willing to look silly for charity. Simply make a donation to the organization and send us proof of donation. Thank you.The link to participate is here: https://cornerstonewomen.ca/ways-to-give/donate-2/Also, write to your MP, MPP, MLA, MNA, Senator, or preferred local media outlet to tell them you want Canada to change its media foreign ownership laws to forbid majority foreign ownership. When you do, sent us note to let us know you have.Finally, support your fellow Canadians by donating to the Red Cross Wildfire Response._________________________________________________Of course, retweets, shares, gentle corrections, constructive criticism, compliments, tips, requests, bribes to be on the show, and positive reviews (if you think we deserve some stars, please rate us) are always welcome.You can do that via our show's Facebook blog page, via Twitter @TrueEager, or by e-mail at TrueNorthEagerBeaver@gmail.com.And if you really enjoy our podcast, why not subscribe via our Podpage [https://www.podpage.com/the-true-north-eager-beaver/], or our True North Eager Beaver Media Inc. YouTube channel, and tell a friend?Until next time, be kind to, and gentle with, yourselves,Your Eager Beaver____________________________________________________Thank you to our podcast's founding sponsors:* The Peppermaster* The Miss Vee Mysteries from Corvid Moon Publishing* Canadian Tarot Dot ComArtwork credit: Peter JarvisLearn more about your ad choices. Visit megaphone.fm/adchoices
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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) | 0.216 | 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".