A Geography of Hope? Decolonizing Space Through the Storytelling and Place-Making of a Festival
Bibliographic record
Abstract
This study explores the potential for Caribbean festivals through storytelling and place-making to decolonize everyday spaces. It investigates the potential for festivals to transform places through festivals’ decolonial cultural and creative resources. The article begins with a review of relevant literature on festivals, storytelling, and place-making. Junkanoo in The Bahamas is presented as a case with which to explore how storytelling as counternarrative to colonial legacies and the neocolonialism of tourism can reaffirm the importance of the festival to place. While there are both placemaking (top-down approach) and place-making (bottom-up approach) processes at work for Junkanoo, passionate community members and cultural leaders provide continued agency alongside powerful placemaking structures. Two alternative conceptual models of place-making and placemaking and possible influences on everyday spatial geographies are presented. The conclusion offers a framework for continued theory development and practice in the decolonization of place through festival storytelling. Place-making with local storytelling enhances strategies for community development through the inclusion of underrepresented communities, especially African descendent populations, for developing more equitable frameworks for heritage justice.
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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 | 0.006 | 0.022 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".