Trabalhadores rurais e migração na Califórnia dos anos 30: Steinbeck e os “ciganos da colheita”
Bibliographic record
Abstract
In the summer of 1936, the novelist John Steinbeck was hired by the newspaper The San Francisco News to cover the phenomenon of the migrants that crowded the roadsides of California and the United States in the aftermath of the dust bowls and the 1929 crisis. As a result of the field trip, Steinbeck wrote seven articles that were published in October 1936 and called "The harvest gypsies". These texts have great documental value regarding the social effects of the economic recession and, this is our argument, they play a fundamental role in the change of perspective in Steinbeck's literature, making it more politically engaged and aesthetically realistic. This article aims at understanding how the summer of 1936 altered Steinbeck's critical perception over the American reality, underscoring the fact that migrants were pivotal in such process, since they uncovered the historical kinship between the workers and the old rural middle classes to which the writer belonged. This discovery enhanced the democratic claims of his literature, which peaked in the greatest novel about the Great Depression: 1939's The grapes of wrath.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".