Bill Cohen’s 1972 Campaign for Congress
Bibliographic record
Abstract
1972 was a true watershed in Maine politics. Following a hundred years of Republican dominance, Democrats led by Senator Ed Muskie had achieved a string of victories that threatened to sweep Republicans from the board of congressional and gubernatorial offices. On election day only the win by first time Republican congressional candidate Bill Cohen would stop the Democrat shut out. Cohen won by determination and perseverance, charisma, and grit, and by his campaign 650-mile walk across Maine’s expansive second congressional district from Gilead on the New Hampshire border to Ft. Kent on the Canadian border. The Walk, as it became known, was an over-arching feature of that campaign and soon became a staple of the subsequent successful campaigns by congressional, senate, and gubernatorial candidates in the Pine Tree State. On the fiftieth anniversary of a campaign that would change the course of Maine politics and propel Cohen onto the national political stage where he would play prominent roles in the House, Senate, and as secretary of defense, this book captures, in the vivid and often surprising words of the participants, how The Walk came to be.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.041 | 0.009 |
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 source (direct Gemma or distilled Codex), 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".