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Record W4392595247 · doi:10.18357/bigr51202421520

Bordering Democracies, Democratising Borders

2024· article· en· W4392595247 on OpenAlexvenueno aff
Marco Mogiani

Bibliographic record

VenueBorders in Globalization Review · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical sciencePolitical economySociology

Abstract

fetched live from OpenAlex

Over the past 30 years, border scholars have written extensively on what borders are, where they are located, and how they operate, not just to critically understand their changing role, but also to criticise and denounce their violence and discrimination. Yet borders continue to proliferate, in particular as a response to alleged crises affecting Europe. If borders have always constituted markers of social and cultural identity, the more recent process of European re-bordering, I argue, constitutes a challenge for the democratic system as a whole. Implemented by left-wing and right-wing parties alike, this process seems indeed to have been taken away from public discourse and treated as a technical necessity to solve the crises. Far from being neutral or non-political, however, it has disclosed new forms of racial discrimination, political and economic power, and colonial violence. In order to substantiate my argument, I will 1) provide a brief examination of the recent changes in the concept and practice of democracy, as well as their interrelations with the process of European re-bordering, 2) investigate the socio-political and economic conditions under which the current process of European re-bordering has come about, with particular attention to the increasing role of media and political discourses in shaping public opinion, and 3) discuss the repercussions of the process of European re-bordering on the democratic system. The article will conclude by inviting scholars, civil society members, and any interested party to open up a more open and democratic debate around the unequal and discriminatory practices of bordering.

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)0.006
metaresearch head score (Gemma)0.009
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 score0.014
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.033
Scholarly communication0.0140.014
Open science0.0010.010
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0080.001

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 head0.022
GPT teacher head0.373
Teacher spread0.351 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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