Bibliographic record
Abstract
This article examines narrative articulations in the film American Chai as a complicated conversation in relation to the sociocultural constructions of bi/cultural-identities within Indian diaspora communities. Unpacking the way desi (first-generation Indo-Canadian) identities are enunciated in/as a quantum (third) space – one that is continuously shifting and deferred – the author contemplates how we might reconsider the narratives put forth in this film as a curriculum of cultural translations. In turn, her curriculum theory project provokes us to ask what we might learn from inter-generational culture-clashes in the curricular spaces among Indian and Western cultures depicted in film. The author draws upon screenplay pedagogy to analyze and then synthesize possible ways that desi movies sometimes employ melodrama to construct a curriculum of living at, within, and among the interstitial and temporal margins of different cultural spaces. The article concludes by proposing that working through a curriculum of cultural translations put forth by films can help one to reconstruct their subjectivity anew in relation to the ongoing migratory transnational movements of diaspora communities here in Canada.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.012 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".