#195 Propaganda, Politics & The Reality of Censorship with Sarah Swain & Karla Joy Treadway
Bibliographic record
Abstract
This episode has themes of: Propaganda, American Politics, Canadian Politics, Censorship, Emergency policies, Mental health, Capitalism, Marxism, Body autonomy, Sovereignty. Karla Joy Treadway is a business coach and consultant who is on a big mission in life to help freedom minded entrepreneurs build their own road to freedom through self and business mastery.She is also the host of the Sovereign CEO podcast, go follow it:https://www.karlajoytreadway.com/podcastSarah Swain is a Personal Brand Strategist, entrepreneur and business coach liberating entrepreneurs through authenticity and solutions to todays economic problems. She is the Founder of the Monetize Your Mind business community, and MYM Wealth Stock. The Sarah Swain Show podcast is COMING SOON! but go check her out at:https://www.sarahswain.caLove this episose?Please give it a rating and review on Spotify or Apple Podcast! Find all episodes HERE: https://elisaunfilteredcoaching.com/podcast
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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".