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
Actor, Comedian and former Winnipegger AISHA ALFA calls in from LaLaLand to answer questions about living around the world, how her stand-up comedy brought her to Studio City, CA. and what it's like to be acting with the kids on Degrassi. Go to AISHAALFA.com for links to her brand new stand-up comedy album "ALL THE PARTS" . Also, Irish Drinking Song.Photo Cred: Diana King (Make-up - Tammy Yi)THE MANITOBA MONEYSHOT PODCAST with Ronald George MooreOn Soundcloud:https://soundcloud.com/user-224826187On iTunes:https://itunes.apple.com/ca/podcast/the-manitoba-moneyshot-podcast/id1377076376?mt=2On Stitcher:https://www.stitcher.com/podcast/ronald-moore/the-manitoba-moneyshot-podcast-with-ronald-george-mooreOn Facebook:https://www.facebook.com/manitobamoneyshot/On Twitter:https://twitter.com/MBMoneyshotOn YouTube:https://www.youtube.com/user/RonaldGeorgeMoore
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 | 0.000 | 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) | 0.624 | 0.037 |
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