2024-03-10 - BTWRLM567 - Seek Solid Foundations
Bibliographic record
Abstract
* The RLM Radio#AndroidApp has been Updated, https://twitter.com/BehindaWoodshed/status/1032711712317702144 * #Android, https://www.reallibertymedia.com/tag/android/ * Please Donate to RLM, https://tinyurl.com/uk57aehr * Scientists Discover Evidence of Lost Continent Off Australia’s Coast, https://sputnikglobe.com/20240117/scientists-discover-evidence-of-lost-continent-off-australias-coast-1116232048.html * US Supreme Court rules Trump can’t be kicked off ballots, https://www.rt.com/news/593751-trump-us-election/ * Barrett joins liberal justices on Trump ballot ban ruling going too far, https://thehill.com/homenews/4506721-barrett-liberal-justices-supreme-court-trump-ballot-ban/ * Texans Warned About ‘Practical Challenges of Secession’ Ahead of Super Tuesday, https://sputnikglobe.com/20240303/texans-warned-about-practical-challenges-of-secession-ahead-of-super-tuesday-1117103082.html * The West could collapse, https://www.rt.com/news/593090-nayib-bukele-dollar-collapse/ * Tucker Carlson: Biden’s Address to Congress ‘Most Un-American Speech Ever, https://sputnikglobe.com/20240308/tucker-carlson-bidens-address-to-congress-most-un-american-speech-ever---1117206887.html * Victoria Nuland quits, https://www.rt.com/news/593816-us-deputy-secretary-nuland-quits/ * US ‘Censorship Industrial Complex’ Alive and Well, https://sputnikglobe.com/20240306/us-censorship-industrial-complex-alive-and-well-1117154704.html * How the Pentagon Learned to Use Targeted Ads to Find Its Targets—and Vladimir Putin, https://www.wired.com/story/how-pentagon-learned-targeted-ads-to-find-targets-and-vladimir-putin/ * Google gets its way, bakes a user-tracking ad platform directly into Chrome, https://arstechnica.com/gadgets/2023/09/googles-widely-opposed-ad-platform-the-privacy-sandbox-launches-in-chrome/ * Only Verified XHerd, https://twitter.com/Alkibiades_/status/1765791438241951832 * Pre-Crime: Canada’s Justice Minister Defends “Online Harms Bill” Powers To Place People Under House Arrest, Cut Internet Access, https://reclaimthenet.org/canadas-justice-minister-powers-to-place-people-under-house-arrest-cut-internet-access * CAUGHT ON CAMERA: Poilievre reveals documents Trudeau has been covering up, https://torontosun.com/news/caught-on-camera-poilievre-reveals-documents-trudeau-has-been-covering-up * World hit by internet outages, https://www.rt.com/news/593855-global-internet-outage-red-sea-cables/ * The old world is no longer dying, it is dead., https://t.me/TXDPR/12686 * Extraordinary’: Ancient Device Reveals Bond Between Religion and Science, https://sputnikglobe.com/20240305/extraordinary-ancient-device-reveals-bond-between-religion-and-science-1117145721.html * Greek Orthodox Holy Synod calls for action against anti-Semitism, https://greekcitytimes.com/2024/03/06/greek-orthodox-holy-synod-calls-for-action-against-anti-semitism/ * Rocky Road to Dedollarization: Sergei Glazyev Interview, https://sputnikglobe.com/20240228/rocky-road-to-dedollarization-sergei-glazyev-interview--1117034183.html * BRICS to create blockchain-based payment system, https://www.rt.com/business/593783-brics-blockchain-payment-system/ * Silent Weapons for Quiet Wars, http://www.stopthecrime.net/docs/SILENT%20WEAPONS%20for%20QUIET%20WARS.pdf * Listen How, https://www.reallibertymedia.com/2013/04/behind-the-woodshed-podcasts/ * General Orders No. 100: The Lieber Code, http://avalon.law.yale.edu/19th_century/lieber.asp
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.129 | 0.060 |
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".