From Punjab to Peggy’s Cove: Joyful Activism in Behind the Bhangra Boys (2019)
Bibliographic record
Abstract
This paper will examine how the 2019 Nancy Ackerman documentary film Behind the Bhangra Boys both deconstructs the complexities of contemporary Sikh immigrant identity in Eastern Canada and reinforces the intricacies of one’s social responsibility of being a welcome guest on the unceded territories of Mi’kma’ki, otherwise known as Nova Scotia. Following the energetic choreography and generous hearts of five young Sikh immigrants, the film reminds viewers that the protection of community and the planet is part and parcel of joyful activism, whilst following Guru Nanak’s teachings, be it along the rocky shoreline of Peggy’s Cove or the fertile farmlands of Punjab.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.023 | 0.009 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".