Bibliographic record
Abstract
Science Tari Renner formally announced his candidacy for the U.S. Congress in a four-city tour across Illinois' 11th Congressional District.The day began with a live radio interview at 9 a.m., a press conference on the steps of the Old Courthouse in Bloomington at 10 a.m., a noon stop in Ottawa, another radio interview in Morris at 2:30 p.m., and a final press conference in Kankakee at 4 p.m.He managed to make it back to Bloomington in time to take his two sons, Max and Alex, to a seven o'clock showing of Freaky Friday, a movie they'd been "dying to see."However, Renner's day didn't end until 10:15 that evening, when he completed his last press interview, via telephone, with the Peoria Journal-Star.Thus began Renner's 14-month, uphill marathon to defeat the veteran Republican incumbent, Rep. Jerry Weller.The race finally ended on Nov. 2, 2004, when Renner conceded -but the calm, determined look on his face as he spoke to supporters, family, and friends was hardly an expression of defeat.Although outspent by $1 million, Renner won Republican-leaning McLean County
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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; a candidate call from one teacher head, not a consensus.
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".