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Record W6958950918 · doi:10.1002/psp.70034

Rethinking Transnational Places as Migratory Ecotones

2025· article· en· W6958950918 on OpenAlexaboutno aff

Bibliographic record

VenuePopulation Space and Place · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Disease Management Techniques
Canadian institutionsnot available
FundersAgence Nationale de la Recherche
KeywordsEcotoneJunglePoliticsAmbivalencePolitical ecologyWork (physics)

Abstract

fetched live from OpenAlex

ABSTRACT This paper revisits the concept of ecotone to shed a different light on migratory spaces. The notion of ecotone was first applied for the study of the contact zones between ecological systems. Over the last two decades, it has been used by scholars of postcolonial literature for the analysis of spaces of cultural interactions. Bridging this strand of work with the debate on more‐than‐relational space, this paper outlines the concept of migratory ecotones understood as the outcome of the process of territorialization of intersecting transnational circulations. Migratory ecotones are ambivalent spaces underlain by contradictory forces: a principle of encounter and cultural interaction, but also a principle of power, conflict, distribution, and hierarchy. We argue that ecotones are more‐than‐relational spaces in three regards: current encounters are shaped by the material environment in which they are taking place, by the political forces constraining the capabilities of migrants, by past encounters and events weighing on present ones. The theoretical considerations developed in this paper will be supported by a literary analysis of a short story by Canadian writer and artist Shani Mootoo and by the political geography analysis of a border camp, the Jungle of Calais.

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.

How this classification was reachedexpand

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 score0.361
Threshold uncertainty score0.140

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 head0.012
GPT teacher head0.235
Teacher spread0.223 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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