Bollywood of India: Geopolitical Texts of Belonging and Difference and Narratives of Mistrust and Suspicion
Bibliographic record
Abstract
A number of Bollywood films create meaning and geopolitical narratives through dialogue, raw images, settings, costumes and historical contexts. This study examines three contemporary Indian films —Earth (Deepa Mehta, 1998), Lagaan (Ashutosh Gowariker, 2001) and Sarfarosh (John Matthew Matthan, 1999) — that explore sub-continental history with a particular focus on insecurity, mistrust and suspicion. It discusses how socio-cultural and regional differences are (re)produced and how geopolitical meanings of ‘we’ and ‘they’ are narrated and constructed through Bollywood. These films construct an image of identity, belonging and difference, emphasizing that Hindus and Muslims are Indians however some legacies and suffering brought on during the partition of British India are still alive in memories when discrimination and exclusion are practiced in their ancestral homelands.
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.
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 | 0.001 |
| 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".