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Record W4313597395 · doi:10.1080/09644016.2022.2156174

The Future of Environmental Peace and Conflict Research

2023· article· en· W4313597395 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

VenueEnvironmental Politics · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsUniversity of British Columbia
FundersAustralian Research CouncilVetenskapsrådet
KeywordsPeacebuildingEnvironmental securityConversationEnvironmental researchSociologyPolitical sciencePoliticsEnvironmental ethicsDisciplineHuman securityEnvironmental resource managementSocial sciencePolitical economyEnvironmental scienceLaw

Abstract

fetched live from OpenAlex

Interest in the intersections of environmental issues, peace and conflict has surged in recent years. Research on the topic has developed along separate research streams, which broadened the knowledge base considerably, but hardly interact across disciplinary, methodological, epistemological and ontological silos. Our forum addresses this gap by bringing into conversation six research streams on the environment, peace and conflict: environmental change and human security, climate change and armed conflict, environmental peacebuilding, political ecology, securitisation of the environment, and decolonizing environmental security. For each research stream, we outline core findings, potentials for mutual enrichment with other streams, and prospects for future research.

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)0.001
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 score0.826
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.032
GPT teacher head0.316
Teacher spread0.285 · 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