Bibliographic record
Abstract
White working-class conservatives have played a decisive role in American history, particularly in their opposition to social justice movements, radical critiques of capitalism, and government help for the poor and sick. While this pattern is largely seen as a post-1960s development, Poor Man's Fortune tells a different story, excavating the long history of white working-class conservatism in the century from the Civil War to World War II. With a close study of metal miners in the Tri-State district of Kansas, Missouri, and Oklahoma, Jarod Roll reveals why successive generations of white, native-born men willingly and repeatedly opposed labor unions and government-led health and safety reforms, even during the New Deal. With painstaking research, Roll shows how the miners' choices reflected a deep-seated, durable belief that hard-working American white men could prosper under capitalism, and exposes the grim costs of this view for these men and their communities, for organized labor, and for political movements seeking a more just and secure society. Roll's story shows how American inequalities are in part the result of a white working-class conservative tradition driven by grassroots assertions of racial, gendered, and national privilege.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.065 | 0.017 |
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".