New World Next Week: Episode125 - Iceland Was Right, Terror Futures, West Nile Spraying
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
NewWorldNextWeek.com : Episode125 - Iceland Was Right, Terror Futures, West Nile Spraying Welcome to New World Next Week - the video series from Corbett Report and Media Monarchy that covers some of the most important developments in open source intelligence news. This week: Story #1: Iceland Was Right, We Were Wrong: IMF Rothschild, Paulson, Soros All Betting Financial Disaster Coming For Euro Shares, Euro fall as Greek meetings loom Skilled Work - Without The Workers Story #2: US Intelligence Tests Crowd-Sourcing Against Its Experts Hackers Backdoor The Human Brain, Successfully Extract Sensitive Data Goldman Sachs To Blame For Global Food-Oil Price Crisis Evidence For Informed Trading On 9/11 Attacks Sentient World Simulation: Meet Your DoD Clone Story #3: CDC Claims Over 1,100 West Nile Virus Cases In US Cities, Counties Nationwide Begin Mass Aerial Sprayings Of Toxic 'Anti-West Nile Virus' Pesticides Pilots Told To Avoid George Bush's Home During Aerial Spraying Opponents To Launch Signature-Gathering Initiative To Block Fluoridated Water In Portland Visit NewWorldNextWeek.com to get previous episodes in various formats to download, burn and share. We also have weekly episodes from FoodWorldOrder.com . And as always, stay up-to-date by subscribing to the feeds from Corbett Report here and Media Monarchy here . Thank you. Previous: Episode124 - USrael War Drums, TrapWire Octopus, Canadian Climate Con
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.739 | 0.021 |
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