Social Justice Feminism and its Counter-Hegemonic Response to Laissez-Faire Industrial Capitalism and Patriarchy in the United States, 1899-1940
Why this work is in the frame
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Bibliographic record
Abstract
This article uses the hegemonic/counter-hegemonic framework of Italian scholar and activist Antonio Gramsci to explain how a movement known as social justice feminism emerged as a counter-hegemonic response to two hegemonic concepts established in and continued, respectively, the post-Civil War United States: laissez-faire industrial capitalism and patriarchal dominance. In four stages from 1899 through 1940, social justice feminists pursued the promotion of an “entering wedge” labor legislation strategy and the increasing participation of women in national politics, particularly in the Democratic Party. While substantially successful in its goals, social justice feminism failed in two important aspects: its inability to work independently of a patriarchal political system, and, most significant, its apparent refusal to include women of color.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it