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Record W4248967294 · doi:10.1108/oxan-db206667

Bulgaria's Borisov will focus on survival, not reform

2015· other· en· W4248967294 on OpenAlexaboutno aff

Bibliographic record

VenueEmerald expert briefings · 2015
Typeother
Languageen
FieldSocial Sciences
TopicRegional Development and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsOpposition (politics)BulgarianPolitical sciencePoliticsNegotiationQuarter (Canadian coin)Government (linguistics)EconomyEconomic policyGeographyBusinessEconomicsLaw

Abstract

fetched live from OpenAlex

Subject Politics after Bulgaria's local elections. Significance Prime Minister Boyko Borisov's centre-right Citizens for Bulgaria's European Development (GERB) now has mayors in 22 out of 28 regional centres, while the Socialist Party (BSP), its main opposition rival, ended up without any for the first time since 1990. However, only one-third of local councils nationwide will be controlled by GERB, forcing it to negotiate coalitions in the three biggest cities -- Sofia, Plovdiv and Varna. This mostly signifies the rising importance of non-party electoral blocs that are coalescing around prominent local businesses. Impacts Real GDP growth of 2.9% year-on-year in the third quarter, boosted by EU funds, will flatter GERB management of the economy. Pressure on the budget is likely to increase, Borisov repeatedly showing himself open to lobbying from interest groups, such as the police. Bulgaria will continue to follow Germany's lead in the EU, hoping for smooth delivery of EU funding in return. The tough line on migrants will continue; the public solidly backs a government that has largely dissuaded use of the Bulgarian route.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.078
Threshold uncertainty score0.155

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0350.008

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 head0.047
GPT teacher head0.334
Teacher spread0.287 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2015
Admission routes1
Has abstractyes

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