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Record W4404128330 · doi:10.1111/anti.13110

Towards Hemispheric Conversations in the Americas: Internal Colonialism and Efforts to Decolonise the Self in Abya Yala

2024· article· en· W4404128330 on OpenAlexaff
Daniel P. Gámez, María Belén Noroña, Fernanda Rojas‐Marchini, Inari Sosa‐Aranda

Bibliographic record

VenueAntipode · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsColonialismSociologyPsychologyGeographyArchaeology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.748
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.021
GPT teacher head0.342
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2024
Admission routes1
Has abstractyes

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