'BradCast' 3/22/2017: (Dark money, 'Citizens United', Neil Gorsuch and Sheldon Whitehouse)
Bibliographic record
Abstract
Connecting the dots between the 'Citizens United' ruling, the GOP theft of the U.S. Supreme Court and the undermining of climate change legislation. On today's show, we go back to 1991, when a newly formed rightwing non-profit group by the name of Citizens United spent $100,000 to ensure that alleged sexual harasser Clarence Thomas would be confirmed as a Justice to the U.S. Supreme Court. Twenty years later, in 2010's 'Citizens United v. FEC' ruling, Thomas then helped unleash a tsunami of undisclosed 'dark money' into our political, electoral and judicial system. In 2014, Sen. Sheldon Whitehouse (D-RI) cited that fateful decision as the point in time when Republicans, who used to support action on climate change, immediately stopped doing so. And, this week, at the confirmation hearings for Judge Neil Gorsuch -- Donald Trump's nominee for the GOP's stolen Supreme Court seat -- Whitehouse confronted Gorsuch in a fascinating extended exchange about 'dark money' in politics, including the $10 million spent by undisclosed rightwingers backing his confirmation, and the $7 million those same shady groups spent to block the confirmation of Barack Obama's nominee, Judge Merrick Garland. All of that and more on today's program, including Desi Doyen and the latest 'Green News Report,' and the Colorado GOP's former chairman-turned-talk show host who has now been charged with absentee voter fraud...
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 | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.025 | 0.002 |
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".