Indigenous dance, cultural continuity, and resistance: A netnographic analysis of the Palestinian <i>Dabke</i> in the diaspora
Bibliographic record
Abstract
Contending with the structural erasure and appropriation of their land, culture, history, and traditions imposed by the settler state, Palestinians have adopted/adapted traditional cultural elements to further their nationalist aspirations and assert their rights as Palestine’s Indigenous people. In the diaspora, Palestinians practice and perform the dabke folkdance, as a tool of anti-colonial memory maintenance and knowledge transfer. In this context, the dabke has been (re)shaped to keep up with the invasive nature of settler colonialism, by evolving to protect indigeneity, resist imagined settler geographies, and represent an embodied landmark of Palestinian existence and history. In this paper, we examine the digital platforms of a diasporic dabke dance academy in Ontario, Canada, highlighting the innovations of using social media to broadcast the teachings and performance of dabke while promoting Palestinian cultural continuity against settler colonialism. We employ the theoretical framework of sumud, a specifically Palestinian mode of steadfast anti-colonial being/becoming to explain that the performance of dance, and the subsequent broadcasting via digital social media platforms is an innovative approach to counter settler colonialism. Cultural and community leaders such as dancers, teachers, and choreographers celebrate Palestinian resilience, resistance, and restoration, while mobilizing global solidarities through social media and dance.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".