MétaCan
Menu
← Back to cohort
Record W4210539724 · doi:10.32920/19082399

“Who Still Watches the Olympics Anyway?” An Exploratory Study of Generation Z and Their Digital Olympic Brand Experience

2022· preprint· en· W4210539724 on OpenAlexaff
Maha Waseem

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicDigital Marketing and Social Media
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsAdvertisingExploratory researchPsychologySample (material)PopulationPerceptionBrand engagementMarketingBusinessPolitical scienceSociologyDemographySocial mediaSocial science

Abstract

fetched live from OpenAlex

Despite being the most watched sporting event in the world, the Olympic Games have struggled to maintain relevancy amongst younger audiences (Pentony, 2016). The purpose of this study was to explore Generation Z’s Olympic brand experience. Using the Theory of Planned Behaviour (TPB) as a theoretical lens, this research employed a focus group methodology to uncover what the Olympic brand means to a sample Generation Z population and gain valuable insight relative to the influence of TPB variables on this generation’s brand perception, brand awareness, and brand engagement with the Olympics. Notably, 59% of participants were unaware that 2020 was a planned Olympic year. Findings suggest this age cohort has fond memories of the Olympic brand from their youth, but have largely disengaged with the brand as young adults. This sample reported largely negative brand associations, a declining interest in long-form sport, and a disconnect with current digital branding strategies.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.060
GPT teacher head0.310
Teacher spread0.250 · 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 designObservational
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
Published2022
Admission routes1
Has abstractyes

Explore more

Same topicDigital Marketing and Social Media→French-language works237,207→