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Contemporary Globalization and Recent Olympic Leadership

2017· book· en· W2625761454 on OpenAlexaff
Stephen R. Wenn, Robert K. Barney

Bibliographic record

VenueOxford University Press eBooks · 2017
Typebook
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsWestern UniversityWilfrid Laurier University
Fundersnot available
KeywordsGlobalizationPolitical scienceRevenuePresidential systemPublic relationsBusinessLawAccounting

Abstract

fetched live from OpenAlex

Through the lens of contemporary globalization, this chapter examines the presidential leadership of Juan Antonio Samaranch and Jacques Rogge. Deane Neubauer’s thoughts on contemporary globalization offer a frame for examining the International Olympic Committee’s (IOC) full embrace of commercial revenue through the sale of television rights and the genesis of the Olympic Program (now Olympic Partners). Samaranch’s vision with respect to revenue generation, necessitated in large measure due to the IOC’s compromised financial circumstances in the late 1970s, transformed the organization. Globalization and its pervasive effects on the world’s economy and industry of sport were central considerations for both Samaranch and Rogge. No longer an institution that avoids commercial links for fear of their influence on the Olympic message, as was the case under the likes of Avery Brundage (1952–1972), the IOC today is staffed by skilled professionals whose focus is nurturing the Olympic brand and courting corporate executives.

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)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.010
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.009
Scholarly communication0.0060.004
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.145
GPT teacher head0.286
Teacher spread0.141 · 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
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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