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Record W7135458900

Olympic Broadcast Rights

2014· dissertation· cs· W7135458900 on OpenAlexaboutno aff
Martin Žižka

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2014
Typedissertation
Languagecs
FieldEconomics, Econometrics and Finance
TopicSports Analytics and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsRevenueBroadcasting (networking)CurrencyDistribution (mathematics)Consumer Bill of RightsRadio broadcasting
DOInot available

Abstract

fetched live from OpenAlex

Title: Olympic Broadcast Rights Objectives: The main objective of this thesis is to analyse the revenue derived from the sale of the broadcasting rights to the Olympics by Olympic Movement. In the thesis are analysed the total sum of revenue, selected territory and compared the proportion that belongs to the International Olympic Committee and the Organizing Committee of the Olympic Games. The secondary objective is to adapt and calculation of the conversion mechanism for the transfer of amounts reported in different currencies in different periods. Methods: Data collection is performed a secondary analysis of documents. The basic aggregate consist of the Summer Olympic Game held 1960 - 2012. The observed variables are: total revenue from broadcasting rights, revenue from broadcasting rights from Europe, the revenue from broadcasting rights from the U.S., revenue from broadcasting rights in Canada, revenue from broadcasting rights from Australia, revenue from broadcasting rights from Japan, the revenue from broadcasting rights in others countries, the number of hours produced from OH, the percentage distribution of revenues from broadcasting rights in the Olympic Movement. The transfer to the same currency using the conversion mechanism which is based on the consumer price index , purchasing power...

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.735
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.000
Research integrity0.0010.001
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 head0.009
GPT teacher head0.213
Teacher spread0.204 · 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 teacher head, not a consensus.

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
Published2014
Admission routes1
Has abstractyes

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