Keynes, Storytelling, and Realism: Literary and Economic Discourse in Rohinton Mistry's A Fine Balance
Bibliographic record
Abstract
In opposition to logical positivism, John Maynard Keynes endorses of vagueness for economic development discourse that reflects a postmodern understanding of the limitations of to reflect reality. Rohinton Mistry's A Fine Balance is a postmodern storytelling of India's economic development during the 1975-77 Emergency; its realist framework communicates the further elaboration required by Keynes's vague to achieve a more precise rendering of the material world. The heteroglossia of voice and carnivalesque elements present in the narrative demonstrate a resistance, subversion, and ultimate delegitimization of the monologic, authoritative discourses of economic development. The homologous relationship between Mistry's postmodern storytelling and Keynes's language of vagueness reveals the common epistemological ground shared by literary and economic discourse, which should inspire more dialogue between the two disciplines.
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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 | 0.000 | 0.000 |
| 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 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".