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Record W2791051229 · doi:10.11575/prism/34013

What’s in a Word: Olympic

2010· article· en· W2791051229 on OpenAlexaboutno aff
Peter Bowal, Thomas D. Brierton

Bibliographic record

VenuePRISM (University of Calgary) · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsWord (group theory)LinguisticsHistoryComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Marketing the Olympic brand has been controversial. Some say the Olympic Games are now like all other large over-commercialized sport events. Others say that local and national governments invest and risk much in competing for and hosting the Games. The International Olympic Committee (IOC) spurned corporate sponsorship until about 40 years ago. But the modern Olympics are expensive. The arrival of television and lucrative advertising markets opened the field to international sponsors seeking to associate themselves with the upbeat Olympic brand. The 1984 Summer Olympics in Los Angeles generated a record surplus of U.S.$225 million by selling exclusive sponsorship rights. The IOC moved in to develop the Olympic brand and control these international sponsorships with The Olympic Program (TOP) in 1985. TOP sponsorship costs U.S.$50 million for four years. International and domestic tiers of Olympic sponsorship have developed. The IOC negotiates and manages broadcast rights and the TOP worldwide sponsorship program. It distributes most of this marketing revenue, up to a $1 billion per year, to national organizations in its network to support staging the Games and promoting sport generally. The IOC assigns to the various National (Canadian Olympic Association) and Local Organizing Committees (VANOC) rights to exploit the symbols, the "Olympic" name and overall brand in order to sell domestic sponsorship, partnership and licensing within the host country. The economic value of the effort depends on how strictly it is enforced so that the benefits of the Olympic sponsorship accrue only to those who pay for it. Sponsors get exclusive global rights to use Olympic symbols for their product category in their promotional material. Many entities would like to have their wares and services publicly associated with the popular Olympics. Since the brand comprises a revenue stream too important to slide into the public domain, the Olympic movement assiduously protects its symbols and usage of the word "Olympic." It has succeeded in changing names of a rock band (The Olympic Hopefuls), non-profit groups who used the term for their competitive games, and a theatre (Improv Olympic). The "Olympics of the Mind" was forced to change to "Odyssey of the Mind," and a card game "Legend of the Five Rings" was renamed. Olymel, a Quebec meat processing company, applied in 1991 to register the trademarks "Olymel" and "Olymel & Design" for the meats and other related industry services the company provided. COA opposed. The "imperfect recollection" test was applied. It asked "whether a person who, on a first impression, knowing one mark only and having an imperfect recollection of it, would likely be deceived or confused."

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)0.006
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.075
Threshold uncertainty score0.251

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0030.003
Scholarly communication0.0100.010
Open science0.0010.003
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0750.045

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 head0.015
GPT teacher head0.233
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

Citations0
Published2010
Admission routes1
Has abstractyes

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