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Sėkmingos Europos komunikacijos link: studijų atradimai ir žiniasklaidos polikos rekomendacijos

2015· article· en· W1883473512 on OpenAlexaff
Auksė Balčytienė, Kristina Juraitė, Jolanta Reingardė

Bibliographic record

VenueSociologija Mintis ir veiksmas · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsNortel (Canada)
Fundersnot available
KeywordsEuropean unionPolitical scienceJournalismPublic relationsPoliticsSocial mediaDiversification (marketing strategy)Public sphereContext (archaeology)Convergence (economics)BusinessLawGeographyEconomic growthEconomicsInternational tradeMarketing

Abstract

fetched live from OpenAlex

In the context of media developments world-wide including convergence of media system, journalism homogenization, diversification of political communication, it is important to understand how these processes will affect (trans)formation of the European public sphere. There has been no European news agenda across media in Europe so far, except for rare cases when European Union becomes an issue of top importance across Europe. Most often these are sensational events, crises or official meetings of the EU representatives. On the other hand, journalists are confronted with their audience, which is poorly informed and has inadequate knowledge about the EU. The aim of the article is to reassess the major challenges of European social imaginary by addressing key measures to be taken to communicate Europe effectively.

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)0.004
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.006
Science and technology studies0.0030.003
Scholarly communication0.0150.007
Open science0.0000.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.002

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 head0.096
GPT teacher head0.352
Teacher spread0.256 · 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
GenreOther

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

Citations1
Published2015
Admission routes1
Has abstractyes

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