A Change in the Tide (ft. Dean Blundell) -- The Daily Beaver Morning Show
Bibliographic record
Abstract
Well, hel-looo, Kits 'n' Kubs!On Episode 289 of our show, Mr. Grizzly's feeling optimistic and Mr. Beaver gets blindsided. We go through all the feelings.Also, we talk about:@TylerMeredith on What's Going WellMore Year-End Interview AnalysisVoting Bigger than OurselvesThe End of CeaușescuHiggs Going After Trans HealthcarePulling Out of the U.N.Friends and EthicsEnvy and GratitudeBONUS: Dean Blundell drops in for a visitThe Daily Beaver Morning Show is broadcast LIVE (most of the time), weekdays at 7-ish a.m. Eastern. Our take on the news is the purrr-fect thing for The Best #DAMFAM in all podcasting™, Canadians on-the-go who want to stay engaged. Until next time, be kind to - and gentle with - yourselves, Your Eager Beaver and Mr. Grizzly___________________________________________________ We welcome retweets, shares, gentle corrections, constructive criticism, compliments, show guest recommendations, and photos of what you are cooking. Send them to us via our show's Facebook blog page, our Xitter feed @TrueEager, or our e-mail at TrueNorthEagerBeaver@gmail.com.If you like to smash with buttons, subscribe to our Podpage, sponsored by The Rae Girl, or our True North Eager Beaver Media Inc. YouTube channel (where you can find the video version of our show and, exclusively, our monthly all pub chat / no politics live PubCast event). If you wish to encourage us to do more, leave us a positive review and stars on Apple Podcasts, retweet and share our shows, or tell your peeps and poops about us.Better yet, since our content is free and we shake it to earn your tips, you may now financially support our efforts via SuperChat on our YouTube page, but if you want to ensure that greater than 90% (rather than 70%) of your support gets to us, buying us a cup of coffee or mug of hot chocolate via The Eager Beaver Emergency Hydration Fund really makes our day.___________________________________________________ Not everyone can do everything. But everyone can do something. Because #DemocracyIsSomethingYouDo...Write to your MP, MPP, MLA, MNA, Senator, or preferred local media outlet to tell them you expect them to dig deep into the Doug Ford corruption story as well as indicted-in-the-USA-for-trying-to-steal-an-election Mike Roman's links to Stephen Harper and Andrew Scheer. And tell them you do approve of a national school food program.With the current strain on our health care professionals, do the right neighbourly thing to keep our hospitals unclogged: get your XBB, flu, pneumonia, and / or RSV shots. Finally, support your fellow Canadians by donating to the Red Cross Wildfire Response. _________________________________________________ Thank you to our podcast's founding sponsors: * The Peppermaster * The Miss Vee Mysteries from Corvid Moon Publishing * Canadian Tarot Dot Com Artwork credit: Peter JarvisOpening and Closing Music Sequence credit: Paul Joseph Something 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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.356 | 0.151 |
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 source (direct Gemma or distilled Codex), 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".