"Stepping up to the Call:" A Historiographical Analysis of Gender in 1930s Soviet Russia
Bibliographic record
Abstract
In 1986 Joan Scott published “Gender: A Useful Category of Historical Analysis,” an article examining the disconnect between the way in which gender is explored within the scholarship and gender history itself. In her work Scott operationalized gender as a framework. Utilizing Scott's framework, this historiographical analysis explores the question of gender as an analytical tool within the scholarship on 1930s Soviet Russia. Works produced prior to and post Scott's “calling” are categorized based upon a gender-based spectrum. Works are categorized as being: descriptive history exploring women; women’s history; beyond women’s history but short of gender history; and gender history. Situating the scholarship of 1930s Soviet Russia alongside Scott's conception of gender history allows for exploration of the evolution of gender- as an analytical tool utilized in the scholarship. Contrasting Scott's conception with scholars' usage of gender alludes to why gender, as a lens, is often overlooked.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".