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Record W4392590717 · doi:10.18357/bigr51202421522

The Resurrection of Borders Inside of the Schengen Area and its Media Representations

2024· article· en· W4392590717 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBorders in Globalization Review · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCross-Border Cooperation and Integration
Canadian institutionsnot available
FundersOstravská Univerzita v Ostravě
KeywordsComputer science

Abstract

fetched live from OpenAlex

The bordering processes inside of the Schengen Area are traditionally under the scrutiny of border studies scholars. The European Union has been repeatedly displayed as a laboratory for a free cross-border movement, often with synonyms like an ostensibly borderless area (Scott 2012). This so-called Schengen culture (Zaiotti 2011) developed due to intensifying cross-border contact and integration between EU member states. However, in the decade between 2010 and 2020 this Schengen culture has been repeatedly challenged by the geopolitical crises and nationalistic political narratives and decisions. This study concentrates on this debate about borders in the selected European news. The analysis of news articles from six newspapers (Mladá fronta, Hospodářské noviny, Le Figaro, Le Monde, Der Standard, and Die Presse) shows how the context of the border debate evolved under the impact of migration crises and coronavirus crisis. Throughout the decade of the 2010s, this study witnesses the gradual securitization of borders inside of the EU and illustrates how the symbolic language and various narratives contributed to this development.

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)0.001
metaresearch head score (Gemma)0.003
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: Review · Consensus signal: none
Teacher disagreement score0.965
Threshold uncertainty score0.512

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.032
GPT teacher head0.408
Teacher spread0.376 · 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