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Record W2136832418 · doi:10.1111/area.12193

Environmental displacement: the common ground of climate change, extraction and conservation

2015· article· en· W2136832418 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

VenueArea · 2015
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsYork University
FundersSocial Sciences and Humanities Research Council of CanadaYork UniversityCancer Research Society
KeywordsNatural resourceDisplacement (psychology)Work (physics)Common groundClimate changeNatural (archaeology)Process (computing)Environmental changeEnvironmental resource managementEnvironmental ethicsEnvironmental planningSociologyPolitical scienceGeographyEcologyEnvironmental scienceEngineeringComputer scienceLaw

Abstract

fetched live from OpenAlex

In this introduction to a special section on environmental displacement, we introduce the concept and ground it in seemingly distinct processes of climate change, extraction, and conservation. We understand environmental displacement as a process by which communities find the land they occupy irrevocably altered in ways that foreclose or otherwise impede possibilities for habitation or else disrupt access to resources within these spaces of life, work and socio‐cultural reproduction. Such dislocation amounts to environmental displacement on the grounds that it is justified by environmental or ecological rationales, motivated by desires to access natural resources, or else provoked by human‐induced environmental change and attempts to address it. Building from here, we make the case for why climate change and efforts to mitigate and adapt to it, extractive industries, and conservation initiatives should be analysed together as displacement inducing phenomena, as they are empirically connected in consequential ways and materialise from similar logics. We additionally lay out the contributions of the individual articles of the special issue and draw connections across them to help provide a preliminary framework for thinking through environmental displacement, including its causes, logics, and consequences, especially for vulnerable populations.

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 score0.412
Threshold uncertainty score0.111

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 head0.031
GPT teacher head0.225
Teacher spread0.194 · 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