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Record W4327970386 · doi:10.1111/tran.12610

Extraction is not a metaphor: Decolonial and Black Geographies against the gendered and embodied violence of extractive logics

2023· article· en· W4327970386 on OpenAlexafffund
Amber Murrey, Sharlene Mollett

Bibliographic record

VenueTransactions of the Institute of British Geographers · 2023
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
FundersJohn Fell Fund, University of OxfordSocial Sciences and Humanities Research Council of CanadaClarendon FundUniversity of TorontoUniversity of Oxford
KeywordsPrecarityMetaphorSociologyEpistemeScholarshipWritNexus (standard)Environmental ethicsGender studiesPolitical scienceLawSocial science

Abstract

fetched live from OpenAlex

Abstract We are witnessing a proliferation of new critical scholarship on the manifold forms of extractivism. Yet, there are risks associated with extraction being rendered a broad metaphor for innumerable forms of removal and value‐making through exploitation and misappropriation. Theorising within decolonial Black feminisms, we respond to the metaphorization of extraction by (re)asserting the need for persistent analysis on the material and embodied effects and consequences of extractivisms. That is, the specific processes, logics, ideologies, and relations of extractivism recast lands, labours, ecosystems, and bodies, and particularly the bodies of women of colour. This helps to ensure the concept does not become figuratively empty and abstracted in politically and analytically debilitating ways. Drawing on more than a decade of research with three communities entangled within and targeted through extractivism along the Chad–Cameroon Oil Pipeline and the extractive‐tourist coastline of Panama, we mobilise a conception of 'extractive logics' to refer to the unnamed, unquestioned, often contradictory, foundational epistemic frameworks that permit the seemingly‐permanent structures and relations of removal, destruction, and dehumanization. We analyse documents from the Chad–Cameroon oil consortium, which projected and then calculated the economic ‘costs’ of the pipeline's triggering of an increase in rates of HIV/AIDS in adjacent towns and cities, alongside the entanglement of capitalist extraction with the medical neglect of Black labourers in Panama. Doing so demystefies the ways that racial and gendered violence are sanctioned (and even premeditated) within extractive logics. We hope that this work challenges some of the methodological nationalism so common within extractive scholarship, and brings extractive processes across disparate South–South and black geographies into conversation, activating a cross‐fertilisation of research across otherwise distinct geographies and geographical refrains. We reflect on the imperatives for and (im)possibilities of decolonial research against extractivism.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0120.064
Scholarly communication0.0060.009
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.013
GPT teacher head0.219
Teacher spread0.205 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations38
Published2023
Admission routes2
Has abstractyes

Explore more

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