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
Most Canadians are getting enough sleep but statistics reveal the numbers are dropping and the quality of that rest continues to suffer. Figuring out how to improve our sleep patterns has led to a confusing environment filled with pharmaceuticals, natural health products, and even supplements of chemicals naturally found in our bodies.On this week's episode of The Super Awesome Science Show, we crawl under the covers of sleep science to find out what may work best to help us get some rest.I talk with neuroscientist, Dr. Michael Antle at the University of Calgary, about the biology of sleep and why it can be difficult to get the quality we need. We also examine the different options to help us find that slumber. The answer may lie not in supplementation but supine poses. We then explore a traditional method to help us get to sleep. Scientifically it's known as bibliotherapy but most of us call it bedtime stories. I talk with Kathryn Nicolai who has a podcast designed to give adults an enjoyable night's rest through relaxing and enjoyable storytelling. In our SASS class, we explore one reason kids don't get enough sleep, school start times. We learn from Dr. Genevieve Gariepy that an early school bell could mean problems for students' performance and weight.If you enjoy The Super Awesome Science Show, please take a minute to rate it on Apple Podcasts or Google Podcasts, tell us what you think and please tell a friend about the show.Twitter: @JATetroEmail: thegermguy@gmail.com Guests:Dr. Michael Antle, Professor, University of CalgaryWebsite: https://psyc.ucalgary.ca/profiles/michael-antle Kathryn Nicolai, Host, Nothing Much HappensWebsite: https://www.nothingmuchhappens.com/Dr. Genevieve Gariepy, McGill University Institute for Health and Social PolicyTwitter: @DrGenGariepyWebsite: https://genevievegariepy.com 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.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.673 | 0.102 |
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