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Record W2501253088

Staging and engaging with media events: A study of the 2014 Eurovision Song Contest

2016· article· en· W2501253088 on OpenAlex
Michael Skey, Maria Kyriakidou, Patrick McCurdy, Julie Uldam

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLoughborough University Institutional Repository (Loughborough University) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCONTESTAdvertisingMedia studiesSociologyPolitical scienceBusiness
DOInot available

Abstract

fetched live from OpenAlex

Recent work on media events has questioned their integrative function, arguing that they operate as sites of symbolic struggle between different interest groups. However, relatively few studies have examined the experiences of those who design, organize, and attend such events. This article addresses this lacuna with reference to the biggest nonsporting live TV event in the world, the Eurovision Song Contest. Drawing on data from the 2014 competition in Copenhagen, Denmark, it examines the varying levels of commitment to the event among organizers, fans, broadcasters, and journalists and, in particular, notes how this shaped responses to a controversial incident involving the Russian entry. While those with an ongoing interest, including organizers and fans, tended to emphasize personal narratives and individual freedom of expression, mainstream media and audiences adopted a far more cynical standpoint, privileging geopolitical issues to make the event seem more relevant and compelling.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.665
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.014
GPT teacher head0.207
Teacher spread0.193 · 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