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Record W4415523726 · doi:10.1080/14650045.2025.2578629

Spatial Imaginaries and the Geopolitics of Trade: A Constructivist Perspective

2025· article· en· W4415523726 on OpenAlex
Ece Özlem Atikcan, Achim Hurrelmann, Gabriel Siles‐Brügge

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

VenueGeopolitics · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsCarleton University
FundersEuropean CommissionUniversity of Warwick
KeywordsGeopoliticsPoliticsConstruct (python library)Space (punctuation)European unionPolitical geographyInternational relationsPerspective (graphical)

Abstract

fetched live from OpenAlex

This Special Issue explores the spatial politics of trade through a constructivist lens. While recent debates in international trade policy have emphasised geostrategic concerns, we argue that space in trade governance is not merely a geopolitical backdrop, but a politically contested arena. The establishment, management, and contestation of trade relations are shaped by, and contribute to, social constructions of space, including the power structures that underpin them. Borrowing from political geography and the literature on spatial imaginaries, we set out the conceptual categories and guiding questions that structure this Special Issue. We examine how trade policies construct spatial imaginaries that reflect and reproduce geopolitical hierarchies, particularly between the Global South and North. With a focus on the trade politics of the European Union and the United Kingdom, we demonstrate why it is beneficial to analyse trade through a nuanced conceptualisation that understands space as contingently constructed, rather than as a neutral container.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
Threshold uncertainty score0.622

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 studies0.0000.001
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 head0.016
GPT teacher head0.212
Teacher spread0.196 · 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