Utilising Mythopoetic Paradigms for Subverting Prescriptive Linguistic Colonial Supremacies
Bibliographic record
Abstract
Post-colonial scholars often confront the dual nature of colonial languages. While these languages provide pivotal communication avenues, especially for diverse marginalized groups like certain Indigenous communities, they simultaneously embody colonial biases, making them challenging mediums for emancipatory discourse. This paper proposes mythopoeticism to leverage the extensive reach of such languages, circumventing their constructive norms. We spotlight this through the prism of the Chiapas Mesoamerican communities' mythopoetics during the 1994 National Army of Zapatista Liberation (EZLN) uprising. This investigation aims to enrich contemporary post-colonial thought, presenting Mesoamerican perspectives on mythopoetics as a dynamic instrument for post-colonial dialogue. The discussion first examines the formative influence of colonial languages on meaning and power dynamics. It then transitions to a detailed textual analysis of the Zapatista mythopoetic narratives. Lastly, it considers the assimilation of Mesoamerican insights into current post-colonial frameworks, endorsing mythopoetics as a rejuvenated mechanism for post-colonial endeavors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".