Bibliographic record
Abstract
Abstract Radicalism in the United States since 1945 has been varied, complex, and often fragmented, making it difficult to analyze as a coherent movement. Communist and pro-Soviet organizations remained active after World War II, but a proliferation of noncommunist groups in the 1940s and 1950s, formed by those disillusioned by Marxist theory or the Soviet Union, began to chart a new course for the American Left. Eschewing much of the previous focus on labor, the proletariat, and Marxist doctrine, American postwar radical organizations realigned around humanist values, moral action, democracy, and even religion, with tenuous connections to Marxism, if any. The parameters of postwar radical moral theory were not always clearly defined, and questions of strategy and vision caused frequent divisions among activists. Nonetheless, claims of individual dignity and freedom continued to frame left radicalism into the late 20th century, emphasizing identity politics, community-building initiatives, and cultural expression in the streets of U.S. cities and the halls of academia. The presidential campaign of Bernie Sanders in 2016 helped revitalize leftist rhetoric on the national stage with its calls for racial and economic equality on moral terms.
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 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".