Bibliographic record
Abstract
Hello and Welcome to Nothing Ever Happens in Canada, but we know this is simply not true! I'm Canadian Girl, thanks so much stopping by today so I can let you know where off to next. We're heading out this world, that's right, straight to outter space. To check out the lunar module we made for that very famous day, we'll learn about our very famous Canadarms 1, 2 and 3. Don't miss your chance to hop on the SS Maple Syrup and join me next week as we fly out of this world.Website - see the show notes and more!https://www.nothingcanada.com/Find Everything https://linktr.ee/nothingcanada⚠️World Health Organization - WHO - COVID-19 Info - Please Stay Safe https://www.who.int/Support the Show Leave a shiny 5 🌟 review On iTunes https://itunes.apple.com/us/podcast/nothing-ever-happens-in-canada/id1434418051?mt=2Or at Podchaser.comhttps://www.podchaser.com/podcasts/nothing-ever-happens-in-canada-718533/aboutReach out using the Castbox apphttps://castbox.fm/va/1404287Souvenir Shop - Merch 🇨🇦🛍 https://nothingcanada.threadless.com/Make a donation to channel 🔵PayPal https://www.paypal.me/nothingcanada1 or at nothingcanada.com A part of the Straight Up Strange Network, check us out! NEW MERCH - BE STRANGE straightupstrange.com 🖖🏼👽 I really do appreciate your comments, you can email me at 📧 CanadianGirl2319@gmail.com or contact me on social media at 📣 @nothingcanada on Instagram, Facebook and Twitter. We are now on YouTube ▶️https://www.youtube.com/channel/UCTWNTxL5O7ShEqHAw3-zCtgPod Nation Playlist - The Aliens 🛸https://www.podchaser.com/lists/PodNation-107Zzr3XOD Podcast Recommendations Horrifying History Podcast https://podcasts.apple.com/ca/podcast/horrifying-history/id1484707139 Holosky Podcast straightupstrange.com --- Send in a voice message: https://anchor.fm/nothingcanada/messageSupport this podcast: https://anchor.fm/nothingcanada/support
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 | 0.000 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.892 | 0.010 |
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".