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Record W2235209680 · doi:10.1080/14683857.2015.1126093

From Dayton to Brussels via Tuzla: post-2014 economic restructuring as europeanization discourse/practice in Bosnia and Herzegovina

2015· article· en· W2235209680 on OpenAlexaff
Danijela Majstorović, Zoran Vučkovac, Anđela Pepić

Bibliographic record

VenueJournal of Southeast European and Black Sea Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBosnianPoliticsRestructuringPeacebuildingPolitical scienceClientelismPolitical economyState (computer science)Public administrationSociologyLawDemocracy

Abstract

fetched live from OpenAlex

The political and economic transformations of peacebuilding and state-building efforts in post-Dayton Bosnia–Herzegovina (BiH) have resulted in a dysfunctional, divided and impoverished country in social crisis. Both international and local political elites have tried to manage the crisis, the former through financial aid in combination with externally imposed measures and the latter through institutionalized ethnic nationalism and clientelism; both approaches were made possible by the Dayton Peace Accords. Articulating a demand for greater social justice, the 2014 protests and plenums rejected both ethnic division and the corruption of post-Dayton political economy. This was rightfully seen as a threat by most Bosnian politicians, and appeared to represent an opening for a new reform agenda by the EU. This was most visible in its ‘Compact for Growth and Jobs’, which aimed to revitalize BiH’s path to European integration. We argue that the Compact and the responses to it offer a useful diagnostic to gauge how the post-Dayton political field has shifted since the events of 2014. In this article, we analyse the Compact and its critics, point out their blind spots and discuss what this reveals about the possibility for wider social change in the wake of the 2014 protests and plenums – in other words, thinking Bosnia’s future beyond Dayton and Brussels, via Tuzla.

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 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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.585

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.027
GPT teacher head0.331
Teacher spread0.304 · 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 teacher head, 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

Citations50
Published2015
Admission routes1
Has abstractyes

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