Different and Unequal? Breadwinning, Dependency Deferments, and the Gendered Origins of the U.S. Selective Service System
Bibliographic record
Abstract
With establishment of the U.S. Selective Service System in 1917, selective draft rules placed consideration of registrants’ economic obligations to their dependents front and center. By observing the Canadian and British recruitment experiences, American policy makers opted against universal conscription since they believed it would be costly because of the need to offer family allowances and opted against a voluntary system since they believed that too many bachelors would fail to volunteer. Dependency deferments were designed to minimize the social and economic costs of war. Local board members determined whether a man was a genuine breadwinner or not, and individual discretion on this matter contributed to the higher rates of African American draftees during WWI compared to white draftees, since African American men were less likely to be recognized as genuine breadwinners. Selective Service rules thus resulted in reproducing female citizens as economic dependents and yielded durable inequalities among registrants.
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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 | 0.011 | 0.017 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".