'BradCast' 4/26/2017: (Why U.S. War Against Syria (and Canada!) Matters)
Bibliographic record
Abstract
As Donald Trump nears his 100 days mark, and Congress returns from their two-week Easter recess, the firehose of news is back on, with Republicans announcing a new scheme to 'repeal and replace' Obamacare and the Administration unveiling a plan for a massive tax cut for corporations and individuals. Desperate to distract from his lack of success during his first 100 days, Trump also goes to war with Canada! (Trade war anyway...via Twitter). Listeners ring in with in calls, comments and emails in response to our interviews earlier this week with MIT Professor Emeritus Theodore Postol and Consortium News' Robert Parry, both of whom question the evidence in the White House's hastily released report on April 11 meant to justify Trump's April 6 cruise missile attack on Syria. That attack is said to have been in response to the April 4 chemical weapons incident in the rebel-held province of Idlib. But why have the U.S. media failed to question the evidence, and why has Congress failed to debate, much less Constitutionally authorize, Trump's military action? Finally, Desi Doyen joins us for the latest, unusually encouraging, 'Green News Report' and a heads up in advance of this weekend's People's Climate March.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.013 |
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".