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Record W2092373161 · doi:10.1068/d274t

Mapping Schengenland: Denaturalizing the Border

2002· article· en· W2092373161 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

VenueEnvironment and Planning D Society and Space · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsCarleton University
Fundersnot available
KeywordsGeopoliticsPoliticsPolitical scienceEuropean unionContingencyRelation (database)RationalityIdentity (music)Political economySociologyLawInternational tradeEpistemologyEconomics

Abstract

fetched live from OpenAlex

In this paper I examine the reorganization of border controls associated with the Schengen process in the European Union and some of its close neighbours. Rather than asking the political science question of why states are committed to Schengen (or not, in the case of the United Kingdom and Ireland), I interpret Schengen as a political moment for genealogical reflection and analysis. The purpose is to contribute to a more historicized understanding of borders. Schengen is analyzed in terms of three trajectories, each of which allows us to denaturalize certain key aspects of the border, such as its identity, function, rationality, and contingency. Schengen is theorized in relation to the geopolitical border, the national border, and the biopolitical border. Other possibilities for genealogies of the border are also canvassed.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.873
Threshold uncertainty score0.866

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 studies0.0010.000
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 head0.022
GPT teacher head0.256
Teacher spread0.234 · 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