THE INDIAN PSYCHOLOGICAL ASSOCIATION, THE BIRTH OF THE MODERN DISCIPLINE AND “THE DESTINY OF ONE NATION”, 1905–1947
Bibliographic record
Abstract
In the age of decolonization, Indian psychology engaged with and nationalized itself within global networks of ideas. While psychology was eventually applied by public intellectuals in explicitly political arenas, this essay focuses on the initial mobilization of the discipline's early Indian experts, led by the founder of the Indian Psychological Association, Narendranath Sengupta. Although modern critics have harshly judged early Indian psychologists for blind appropriation of European concepts, an analysis of the networks through which the science of psychology was developed challenges this oversimplification. Early Indian psychologists developed their discipline within a simultaneously transnational and nationalistic context, in which European ideas overlapped with ancient texts, creating a deliberately “Indian” brand of psychology. As the discipline of psychology exploded across the world, Indian psychologists developed a science ofswaraj, enabling synergies between modern psychological doctrine, philosophy and ancient texts. This paper explores the networks of ideas within which modern Indian psychology was developed, the institutional and civil environment in which it matured, and the framework through which it engaged with and attempted to claim credence within transnational scientific networks.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.017 | 0.021 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".