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Record W3111480220 · doi:10.1111/anti.12696

Hemispheric, Relational, and Intersectional Political Ecologies of Race: Centring Land‐Body Entanglements in the Americas

2020· article· en· W3111480220 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAntipode · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIndigenousPoliticsSociologyRace (biology)Gender studiesIdeologySituatedIntersectionalityPower (physics)Social movementPolitical ecologyEnvironmental ethicsEcologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Abstract In this Afterword, I reflect on the themes of race and coloniality in political ecology highlighted by this Symposium. I draw upon and place in conversation scholarly work on Latin America to demonstrate how, notwithstanding disparate social‐historical contexts, Indigenous and Black communities encounter strikingly similar struggles for land and territorial control across the Americas. I build my comments from a fusion of postcolonial, decolonial and black feminist thinking to bolster the importance of intimate and inseparable entanglements between people’s lands and their bodies within political ecological analyses. In the following, I shape this commentary into three co‐constitutive discussions: first, that political ecologies of race are hemispheric; second, that race and coloniality condition the lives of Indigenous and Black peoples relationally in the Americas; and third, that these multiple and mutually constituted ideologies, namely intersectional forms of power, shaping land and land control are profoundly material and embodied.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.103

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 head0.028
GPT teacher head0.237
Teacher spread0.209 · 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