Palestinian parkour in Gaza as embodied decolonial praxis and land-based physical activity under occupation
Bibliographic record
Abstract
As a physical culture, parkour sits at the intersection of spatial resistance and physical self-discipline, requiring one to disobey rules of urban space while simultaneously enacting control over one's own body. Across the occupied Gaza Strip, multi-generational parkour groups have become popular amidst the backdrop of restricted personal freedoms and physical cultural opportunities. Since 7 October 2023, escalating genocide, structural violence, and humanitarian crises in Gaza have halted many aspects, practices, and aspirations of everyday life, including sports. We analyzed the resilience of Gaza-based parkour groups as embodied decolonial praxis for Palestinians of all genders and across (dis)ability living under ever-changing conditions of life in Gaza. Using the theoretical framework of Sumūd, a Palestinian decolonial epistemology, and a netnographic methodology, we posit parkour as an embodied decolonial praxis, cultivating an emotional reclamation of land and community resurgence. This project also highlights difficulties in gathering data during the period between October 2023-August 2024 due to the disruptions in internet networks, media archives, and parkour spaces. Nevertheless, through parkour, Palestinians challenge settler-colonial spatialities and temporalities through constructing their own time/space continuums, cultivating land-based relationships, committing to psychosomatic self-discipline, refusing debilitation, and embracing joy.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".