IS OTT IN INDIA ‘OVER-THE-TOP’? RE-PRESENTATION, REGULATION AND RELIGIOUS SENTIMENTS IN INDIAN OTT
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The recent OTT regulation measures in India brings Netflix India and Amazon Prime Video, among other subscription based video platforms under the ambit of Ministry of Information and Broadcasting. Analyzing how negotiations of culture interact with the discourse of ‘protecting sensibilities’ in 21st century India, I argue that the discourse of regulation fabricates “representation” and a ‘global’ Indian identity. Manipulating “the terms of appearance”, these images accused of hurting religious sentiments are ‘framed’ to unwittingly reveal themselves , causing a dent in the post-colonial perception of India being a “country where diverse faiths, languages, and cultures co-exist peacefully within the boundaries of a single peacefully within the boundaries of a single state.” Relaying pre-existing panoptic cultural policing that brings India dangerously close to right-wing nationalist propaganda, I examine the role of “religious sentiments” and the dependence on cultural policing in this precarious political climate. I explore what it would mean to submit or to resist this new reality in the seemingly (in)dependent internet age.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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) | 0.002 | 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