Rethinking Transnational Places as Migratory Ecotones
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.023 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".