An Indigenous Poetry Slam: The Spoken Poetry in Slam Coalkan
Bibliographic record
Abstract
This article inserts itself in the field of spoken poetry studies, more specifically focusing on poetry slam competitions, by studying the case of Slam Coalkan, the first indigenous event of its kind in the world that was held in 2021 through a partnership between Brazilian and Canadian festivals, that brought together poets both from the Southern and Northern hemispheres of Abya Yala. From a critical perspective, this paper describes and analyzes this championship, emphasizing the importance of orality for native cultures, being orality the protagonist in a context as poetry slams. Anchored to a theoretical framework that revolves around indigenous literatures, the work seeks to emphasize the need to listen carefully to the voices of these historically silenced and marginalized subjects who, through their narratives of struggle, emancipation, and resistance, showcase their ancestral knowledge. Furthermore, by publicizing this unprecedented event, the article aims to value and defend the legitimacy of the poetry that is produced and circulated in the slams.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.015 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".