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Record W2795777660 · doi:10.1080/08865655.2018.1457974

Schengen Cooperation: What Scholars Make of It

2018· article· en· W2795777660 on OpenAlexvenueno aff
Markéta Votoupalová

Bibliographic record

VenueJournal of Borderlands Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsSolidarityPolitical scienceAgency (philosophy)LegislationHuman rightsLaw and economicsDiscretionSociologyLawPoliticsSocial science

Abstract

fetched live from OpenAlex

The Schengen cooperation has been one of the most debated European issues since the migration flows into the EU increased in 2015. This survey article aims to give an overview of the scholarly literature on the Schengen Area which can help see the current issues in a broader theoretical and historical perspective. Often, researchers emphasize the difficulties the Schengen project experiences. They criticize that security is more important than human rights, EU citizens are more privileged than third country nationals, states use too much discretion in terms of interpreting the Schengen Acquis, etc. Regarding examined aspects of the Schengen cooperation, scholars focus predominantly on borders, security, agency, and the gap between legislation and practice. On the other hand, the issues of solidarity, resilience, and symbolism have been rather neglected so far. However, exactly these aspects could help clarify the current situation within the Schengen Area. To conclude, Schengen seems to be a resilient project, albeit full of ambiguities.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.006
Science and technology studies0.0100.041
Scholarly communication0.0170.026
Open science0.0020.010
Research integrity0.0080.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.059
GPT teacher head0.373
Teacher spread0.314 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations14
Published2018
Admission routes1
Has abstractyes

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