Bibliographic record
Abstract
A large part of mental health has to do with staying focused on positive pursuits. Also, with positive interactions with others. You can't control how others treat you, but you can control how you treat them. It is up to US to stop the division. It is EVERYONE'S responsibility to be respectful to each other. Share this episode, text it to friends, share it on all of your social media channels...it's time. It's time for people to wake up and be kind. Be kind to yourself, be kind to others. Lead by example. Your example can save the world. Today's episode is sponsored by our friends at \\"Millars Law\\", a Veteran-founded and run law firm. Millars law is giving back to the community that gives so much by making an incredible special offer to our listeners. For the next 30 days, Millars law is offering Veterans and First responders a Family will, and POA for only $299.00. Typically, a will and POA can cost over &2000.00! This offer is a meaningful way to say THANK YOU for your service for all Veterans and First Responders. To take advantage of this amazing gift, don't wait, go to www.millarslaw.com go to the website and get your will done TODAY. If you prefer to phone, toll free: 1-888-855-5547 Don't delay...do it today! info@millarslaw.com This offer is available in Canada only. --- Send in a voice message: https://anchor.fm/tango-romeo/message
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 | 0.001 |
| 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) | 0.554 | 0.011 |
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".