Women and the Nationalisation of Literature: Text and Image as Parallel Narratives with Multiplied Meaning in a Hindi Periodical (1927–1941)
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Bibliographic record
Abstract
The early twentieth century is a period in colonial Indian history marked, among other things, by nationalist explorations of what was commonly described as the upper middle‐class, Hindu high caste ‘woman's question’. In the process, gender roles and responsibilities in public and private spheres were being contemplated and negotiated in oral and written forms. This essay explores the text‐image combinations and relationships in a mainstream Hindi literary periodical published in North India in the 1930s. It focuses specifically on the gendered visual narrative that emerged from this periodical's engagement with the role of women in the Hindi public and private spheres. It argues that through the combination of text and image, the reader of the Hindi periodical Sudha was presented with verbal and visual messages that were deeply embedded in debates on literary and cultural nationalism.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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