Modern Indian Utopian Art and Literature: An Introduction
Bibliographic record
Abstract
This is an editorial introduction to the Open Library of Humanities Special Collection on Utopian Art and Literature from Modern India, which has a major focus on literary and filmic imaginings of utopia and dystopia, with the majority of articles examining texts from the period before the Partition and independence of India in 1947. We show how the collection is part of the current scholarly endeavour to recognize the wealth of non-Eurocentric utopian and dystopian texts in literature. The introduction captures key themes such as the rural and the urban, discussed in the collection, and points out the scholarly innovation of paying sustained attention to literature written in bhashas (vernacular Indian languages) in both utopian and dystopian modes, and of analysing the work of classic Modernist writers from 20th-century India, such as Satinath Bhaduri and Tarasankar Bandopadhyay.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.015 | 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 teacher head, 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".