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Record W3122374685

The 2013 Parliamentary Elections in Bulgaria

2014· article· en· W3122374685 on OpenAlexaff
Petia Kostadinova, Maria Popova

Bibliographic record

VenueSSRN Electronic Journal · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsMcGill University
Fundersnot available
KeywordsPolitical scienceGeneral electionBulgarianLegislatureTurnoutNationalismPoliticsCoalition governmentDemocracyPolitical economyCommunismPublic administrationGovernment (linguistics)TurkishLawVotingSociology
DOInot available

Abstract

fetched live from OpenAlex

The 12 May 2013 legislative elections in Bulgaria were precipitated by Prime Minister Boyko Borisov's resignation in February of that year, and took place in the midst of wiretapping scandals and a pre-election discovery of (possibly illegally) overprinted ballots. The elections produced no clear winners, but marked several firsts in Bulgaria's post-communist democratic experience. The turnout was the lowest ever, with nearly half of the electorate staying home and not casting a vote. The outgoing incumbent captured the biggest share of the votes for the first time since competitive multiparty elections were re-introduced in 1990. And, in another first (at least since 2001), no new parties burst onto the political scene. The outcome was a minority coalition government between the Socialist-dominated Coalition for Bulgaria and the Turkish minority Movement for Rights and Freedoms (DPS). The fact that this coalition enjoyed tacit but active support by Ataka led to the further legitimization of that radical nationalist party and illustrated its ascent to the position of kingmaker in Bulgarian politics.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score0.491

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0040.001
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.009
GPT teacher head0.267
Teacher spread0.259 · 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 designObservational
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

Citations0
Published2014
Admission routes1
Has abstractyes

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