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Record W1961707219 · doi:10.22456/1982-8918.49419

GLOBAL MEDIA ON THE SPOTLIGHT: AN ANALYSIS THROUGH OLYMPIC BID BOOKS

2015· article· pt· W1961707219 on OpenAlexaff
Doiara Silva dos Santos, Ana Gabriela Alves Medeiros

Bibliographic record

VenueMovimento (Porto Alegre) · 2015
Typearticle
Languagept
FieldSocial Sciences
TopicMedia and Communication Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

O objetivo deste estudo é identificar e discutir as construções discursivas que envolvem as operações midiáticas em três livros de candidatura oficiais: Londres 2012, Rio 2016 e Madrid 2020. A análise do discurso foi conduzida baseada em uma compreensão de discurso que é atenta ao papel que desempenham as autoridades esportivas (aquelas responsáveis pela elaboração dos livros de candidatura); o público-alvo destes livros (membros executivos do Comitê Olímpico Internacional); e as circunstâncias em que o texto é produzido, circulado e comunicado (a candidatura de uma cidade a sediar os Jogos Olímpicos). Em geral, os discursos analisados refletem uma tendência para a homogeneidade no complexo global da mídia esportiva reproduzem as complexas relações de reciprocidade entre a mídia e as organizações esportivas.

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)0.009
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0080.014
Science and technology studies0.0020.002
Scholarly communication0.0060.004
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.002

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 head0.160
GPT teacher head0.378
Teacher spread0.218 · 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
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

Citations1
Published2015
Admission routes1
Has abstractyes

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