Bibliographic record
Abstract
This paper introduces the “Endogenous Cycle of Hinduphobia,” a theoretical construct explaining the perpetuation of stereotypical depictions and systematic omissions of Hinduism and Hindus in scholarship and media, which seed a biased master narrative about Hinduism in the public imagination. It highlights the role played by epistemic injustice in undermining Hindu testimony and scholarly contributions, sustaining a cycle of prejudice that entrenches this master narrative. Historical ties of American public education to colonial and missionary objectives are explored, illustrating how curricula have historically undermined Hindu religious and cultural identity by favouring narratives marked by violence, superstition, and moral degradation. The paper scrutinizes incidences where scholars and journalists trigger the endogenous cycle of Hinduphobia, arguing for an interrogation of the foundational premises upon which current representations are built. It also recounts the experiences of Hindu Americans who, as students, addressed the California Department of Education in 2016, highlighting the detrimental effects of such educational biases on their individual and collective identities. Ultimately, the paper aims to initiate steps toward dismantling the endogenous cycle of Hinduphobia, advocating for an educational paradigm that truly aligns with the tenets of democracy and pluralism.
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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 | 0.015 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".