"Progressive? Mothers: Feminist Eugenics and Leta S. Hollingworth
Bibliographic record
Abstract
Leta S. Hollingworth was an early 20th century U.S. Psychologist, active during what is commonly referred to as the Progressive Era. While initial scholarship on Leta Hollingworth during the 1960s and ‘70s had celebratory aims geared towards her role as a feminist Psychologist, more recent scholarship has attempted to unpack her engagement with the eugenics movement. Using archival materials and drawing inspiration from scholars that challenge the limits of the archive, the present thesis explores Hollingworth’s scholarship and activism, fleshing out her own feminist and eugenic ideologies. I then forward the argument that Hollingworth did not hold feminist and eugenic ideologies together with tension, but reconciled them through the logic of another movement, feminist eugenics. This thesis ends with a discussion of how studying the life and scholarship of an early 20th-century feminist eugenicist serves as a cautionary tale for contemporary bioethical debate.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.026 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".