Towards Hemispheric Conversations in the Americas: Internal Colonialism and Efforts to Decolonise the Self in Abya Yala
Bibliographic record
Abstract
Abstract We bring the concept of internal colonialism—developed by Indigenous and racialised activist‐scholars in Abya Yala—into conversation with settler colonialism, white supremacy, white privilege, and Indigenous fleshed or embodied politics. Our goal is to incite fraught hemispheric conversations about the internalisation of coloniality by subaltern peoples, anticolonial struggles, and the relevance of internal colonial structures of dispossession in the making of Latin American nation‐states. We believe in the power of establishing dialogue/cooperation between grassroots Black, Indigenous, and racialised thought against colonialism in Abya Yala and Turtle Island. A reading of these contributions suggests that binary classifications—oppressor/victim, dominator/dominated—trap our imagination, destabilising commitments to decolonisation. We focus on the construction of the environmental state in Chile, conservation discourse in the Riviera Maya, the rise of corporatist rule in southern Mexico City, and cuerpo‐territorio mapping in the Ecuadorian Amazonia. We propose that a relational reading of colonial power dynamics enables opportunities for liberation.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.029 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".