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Record W2466690303 · doi:10.1057/eps.2016.26

Mapping the ‘Enviro-Security’ Field: Rivalry and Cooperation in the Construction of Knowledge

2016· article· en· W2466690303 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

VenueEuropean Political Science · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsRivalryField (mathematics)Citation analysisCitationPolitical scienceRegional scienceSociologyData scienceSocial scienceKnowledge managementEpistemologyComputer scienceLawEconomics

Abstract

fetched live from OpenAlex

Abstract This paper maps out the network of researchers on environmental security from the end of the 1980s to 2014, providing a systematic analysis of how the research is organized in this interdisciplinary field. Drawing on the Web of Science database, we generated a co-citation analysis that exhibits the cognitive structure of the field. Twenty interviews were conducted in order to uncover relationships of cooperation, rivalry and conflict so as to understand the structure of academic debates inside the field over time. The research findings highlight that central authors have had a long-lasting influence on the field despite the evolution of their productivity. We also found that the field is composed of six fairly structured groups as well as a few peripheral authors, which can in turn be distinguished by their epistemological and methodological choices, as well as geographical centre of gravity.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.933
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
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 head0.025
GPT teacher head0.276
Teacher spread0.251 · 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