New World Next Week: Episode145 - Horse Meat, Hanford Leak, Obama's Oscar
Bibliographic record
Abstract
NewWorldNextWeek.com : Episode144 - Horse Meat, Hanford Leak, Obama's Oscar 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: Horse Meat Found In Yet More Frozen Dinners Horsemeat Scandal And Global Processed Food Suppliers Linked To Arms Trafficking The Bout Enigma (Eyeopener Preview) IKEA Removes Sausages In Horse-Meat Scandal "Horse" Memes On Media Monarchy "Horse" Memes On Food World Order Story #2: Sen. Wyden Seeks Investigation Into Hanford Tank Leaks The Great Lakes Nuclear Dump West-End Toronto Residents Shocked By Local Uranium Facility 'Fear Of A Nuclear Harvest' w/ Tom Carpenter on Ground Zero Story #3: Iran Calls Oscar For 'Argo,' Awarded By Michelle Obama, An Ad For CIA 'Propaganda: And The Award Goes To... The Military Industrial Complex' on Ground Zero Is 'Argo' Historically Accurate? Visit NewWorldNextWeek.com to get previous episodes in various formats to download, burn and share. And as always, stay up-to-date by subscribing to the feeds from Corbett Report here and Media Monarchy here . Thank you. Previous: Episode144 - Blemished Banquet, Monsanto Patents, Insider Ketchup
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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 | 0.000 |
| 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) | 0.416 | 0.024 |
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".