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Record W3090913770 · doi:10.3389/fspor.2020.572495

20 Years of Olympic Media Research: Trends and Future Directions

2020· review· en· W3090913770 on OpenAlex
Andrea N. Geurin, Michael L. Naraine

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

VenueFrontiers in Sports and Active Living · 2020
Typereview
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsBrock University
Fundersnot available
KeywordsNewspaperFraming (construction)ScholarshipContext (archaeology)Public relationsPolitical scienceContent analysisPeriod (music)Diversification (marketing strategy)Media consumptionSociologyMedia studiesAdvertisingSocial scienceGeographyMarketingBusiness

Abstract

fetched live from OpenAlex

The Olympic Games is the largest multisport event in the world, regularly drawing global audiences in the billions to watch coverage of athletes from hundreds of nations. It has received a great deal of scholarly attention, especially in terms of media coverage, consumption, and co-creation. As coverage has the ability to impact media consumers' perceptions of nations, cultures, and issues, it is important to develop an understanding of research trends relating to the Olympic Games and media in order to uncover gaps in the literature which may be filled by future scholarly work. Therefore, in order to highlight trends in the established literature and uncover areas for development, a systematic literature review was conducted to examine the state of Olympic media research over a 20-year time period (1999-2018). A total of 221 articles were examined, revealing insights into the types of research being produced from theoretical, methodological, and contextual perspectives. Results revealed a significant proportion of scholarship focused on the Summer Olympic Games, the United States, newspaper accounts of the Games, and utilized media framing and agenda setting frameworks and the content analysis methodology. Just over half of the studies utilized a theoretical or conceptual framework, the prevalence of which increased over time. Core areas for continued development in the Olympic media space include embracing and grounding research in theory, diversification in research context, and expanding upon the definition of the Olympic Games within the greater Olympic Movement.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.981
Threshold uncertainty score0.650

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.065
GPT teacher head0.371
Teacher spread0.305 · 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