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Record W3011316870 · doi:10.1177/2514848620907470

Extraction, entanglements, and (im)materialities: Reflections on the methods and methodologies of natural resource industries fieldwork

2020· article· en· W3011316870 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEnvironment and Planning E Nature and Space · 2020
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsUniversity of TorontoYork University
FundersYork University
KeywordsScholarshipNatural resourceSociologyMateriality (auditing)Resource (disambiguation)Environmental ethicsMaterialismSocial scienceAestheticsEpistemologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

This multi-authored collection of papers examines the complex realities of research on natural resource industries, including the messy entanglements of extraction, materiality, and everyday social life this research entails. Of central importance to the contributors is how scholars confront fieldwork challenges ethically, methodologically, and corporeally. The collection has two key objectives. First, it expands our understanding of extractive industry by bringing together work on resources conventionally understood as extractive (e.g. oil and minerals) alongside resource-intensive industries not typically examined through an extractive lens, for instance fisheries, agricultural monocultures, water, and tourism. As such, it considers the historical and current conditions that facilitate the extraction of resources in parallel, cyclical, and reproducing forms. Second, the collection examines scholarly positionalities, methodologies, and dilemmas that arise when studying nature-intensive industries, including the extractive dimensions associated with social research itself. Together, the pieces argue that research concerning extractive industries entails multiple scholarly positions—positions problematically inflected with colonialism and always shaped by power relations. Contributors to the section draw largely from feminist, postcolonial, anti-racist, and historical materialist insights to frame and problematize the corporeal and representational concerns arising from their scholarship on nature-intensive industries, including personal dilemmas that they have encountered in their work. Overall, the collection is driven by the realization that research, and the analyses it entails, may serve as a tool for emancipatory intervention yet also reproduce inequality. The futures of the people and ecosystems at the center of our studies impel constant reflection so that our work, and that of the next generation of scholars, may offer critical analysis that contributes to transforming—rather than reinforcing—oppressive relations associated with extractive sectors and industries.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.704
Threshold uncertainty score0.312

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 head0.058
GPT teacher head0.324
Teacher spread0.265 · 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