Roger Stone “Found Guilty,” Corruption, Sellouts & Opportunists - FF Ep52 [2019-11-16]
Bibliographic record
Abstract
Henrik and Lana cover the latest stories and important events of the week in Flashback Friday episode 52. Topics discussed: * Roger Stone Found Guilty On All 7 Counts * Glen Allen re Allen v. SPLC Litigation * Ben Shapiro on Radio 3Fourteen in 2014, A Different Ben Back Then * Daily Wire editor says Jew hatred is inherent in European DNA * Gay pressure group demands 1 of 5 prime-time TV characters be LGBT by 2025 * Genocide Denier Cenk Uygur Files To Run For Disgraced Congresswoman Katie Hill’s Seat in California * Paul Craig Roberts comes around * PayPal banns PornHub * Staffanstorp Municipality in Sweden Release Migrant-Free Ad * Charlie Kirk Disgraced in Huston * Anti-White professor says space, technology and science are racist lies by white people * Brown people in Canada complain that hockey is too White * European girl hates her DNA results *************************************************************** Sign up for a membership at 👉🏻 https://redicemembers.com. Get full access to our extensive archives, watch or listen to all our shows. Stream or download over 1800 programs, including radio shows, videos, TV segments & our live show Weekend Warrior. You get access to exclusive videos. All new videos are made available to members first. *************************************************************** 👕 Get Our New T-Shirts Here: https://redice.tv/store *************************************************************** ❤️ SHOW US SOME LOVE ❤️ HELP US GROW ⚡️ ⭐️ Donate: Cash.App: https://cash.me/$redicemembers Swish (Sweden): 076 815 68 01 Donorbox: https://donorbox.org/red-ice Visit our donate page: https://redice.tv/donate Donate Bitcoin and other Cryptocurrencies: BTC: 1CfFFSB3aJqPtynJhsVvK5xm3UAJHNsvZ6 BCHABC: 1CfFFSB3aJqPtynJhsVvK5xm3UAJHNsvZ6 ETH: 0x93af71a3d5bf92e859b05b9e0de0f1985a2c9ce5 LTC: LdyptdN7XyqD6jGYUiTVA9RbiP5vBGADmc BAT: 0x93af71a3d5bf92e859b05b9e0de0f1985a2c9ce5 XRP: rEb8TK3gBgk5auZkwc6sHnwrGVJH8DuaLh XRP Deposit Tag: 103245046 Want to donate another crypto? Email us at [email protected] and we can provide wallet address for virtually any crypto. Watch our content on the Brave Browser and support us with BAT (Basic Attention Coin) 🌐 Get Brave via our affiliated link: https://brave.com/red091 Thank you for your help! We can not continue without your support. 👕 Get one of our t-shirts from https://lanasllama.com or https://redice.tv/store NEW DESIGNS AVAILABLE NOW! 📮 Send mail or donations to Henrik or Lana: 1866 C E Market St PMB 315 Harrisonburg, VA 22801 USA *************************************************************** 🔗 More Red Ice: https://redice.tv 🔗 Red Ice Members: https://redicemembers.com 🐦 Follow us on Twitter: https://twitter.com/redicetv 👍🏻 Like us on Facebook: https://facebook.com/RedIceCreations 📰 RSS feeds: https://redice.tv/rss ✈️ Join our Telegram group: https://t.me/redicetv 🇷 Join Riot Chat rooms: https://riot.im/app/#/group/+redice:matrix.org 📺 Follow us on Dlive: https://dlive.tv/redicetv 🖼️ Follow us on Instagram: https://instagram.com/redicemedia 🐸 Follow us on Gab: https://gab.com/redicetv 💡 Follow us on Minds: https://minds.com/RedIceTV 🎤 Listen to us on Spreaker: https://www.spreaker.com/show/red-ice-radio_1 📺 Subscribe to our BitChute channel: https://www.bitchute.com/redicetv/ *************************************************************** Thank you so much for your support! Source: https://www.bitchute.com/video/kcz70uphyeqD Uploader: Red Ice TV
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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.008 |
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".