Searching for a New Politics: The New Politics Movement and the Struggle to Democratize the Democratic Party, 1968-1978
Bibliographic record
Abstract
Abstract By the late 1960s, the Democratic Party had fallen into crisis. Vietnam, urban riots, and declining electoral fortunes marked a crossroads in the history of the party, raising questions about the meaning and trajectory of postwar liberalism. Amid the political chaos and economic crisis of the 1970s, a distinct political tendency running through the civil rights, feminist, labor, and antiwar movements demanded a new politics. The New Politics movement attempted to reform and realign the Democratic Party to the left. Reformers perceived party rules and structure as constraining progressives’ influence on public policy. Their project to democratize the Democratic Party began in the wake of the 1968 party crisis, and it ended ten years later with the failure to compel a sitting Democratic president and Democratic Congress to implement the party’s program for full employment. While faced with organized intraparty resistance, the failure of the New Politics movement hinged on the contradictory consequences of its struggle to open the party.The successes and failures of the New Politics movement suggest the limits and possibilities confronting progressive forces in the United States today.The New Politics episode can help clarify the goals and tactics involved in realigning American politics in a more progressive direction.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.013 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".