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Record W4408622073 · doi:10.1111/area.70001

Rivers as borders? Navigating in‐between the tensions of water‐state‐society geographies

2025· article· en· W4408622073 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

VenueArea · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsYork University
Fundersnot available
KeywordsState (computer science)SociologyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Abstract What is unique about bringing rivers and borders into conversation with one another, and what are the implications for geographical research? This article and Special Section charts new directions in the study of rivers as borders. By emphasising a river‐centric approach, we collectively challenge traditional terra‐centric views prevalent in border research and show that rivers as borders are much more than just convenient tools for territorial demarcation and securing state sovereignty. The contributors engage rivers in conversation with border studies and conceptually navigate the liminal spaces in‐between the inherent tensions of fixity and flow by drawing on perspectives from cultural, political and environmental geography. River‐borders meander between land and water; violence and opportunity; artefact and landscape; dynamism and control. By bringing these multifaceted river‐borders and bordering practices into dialogue, we advance geographical understandings of what happens at the meeting point when rivers become borders. We argue that geographical research on water‐state‐society relations must analyse the relations between rivers' material agency and the differently entangled lifeworlds of border dwellers and crossers, considering their historical, material, cultural and social ties to the river.

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 score0.092
Threshold uncertainty score0.989

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 head0.010
GPT teacher head0.288
Teacher spread0.278 · 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