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Record W7135808961

THE USAGE OF SPORT NEWS SERVICE OF CZECH NEWS AGENCY FROM THE OLYMPIC GAMES IN VANCOUVER 2010 IN NEWSPAPER SPORT

2011· dissertation· cs· W7135808961 on OpenAlexaboutno aff
Ondřej Novotný

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2011
Typedissertation
Languagecs
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperCzechAgency (philosophy)Service (business)News mediaBachelorNews bureauEvent (particle physics)
DOInot available

Abstract

fetched live from OpenAlex

The bachelor thesis "The usage of sport news service of Czech News Agency from the Olympic Games in Vancouver 2010 in the newspaper Sport" deals with a media coverage of extraordinary important sport event aiming to find out the extend of today's dependence of print newspapers on the service of the press agency. The research is based on the example of the Olympic Winter Games in Vancouver, one of the most important sport events of 2010, and it surveys the production of sport section of Czech News Agency and the only Czech newspaper focused on sport. The thesis is focused on comparison of the Olympics' news service in the agency and in the newspaper and it covers the period beginning one week before the start of the Olympics and ending one week after the end of the Olympics. It traces the amount of agency's news used by Sport and it finds out whether the newspaper regularly adopted specific kind of news. The thesis also explores whether the journalists in Sport somehow worked more on the agency news or left them in their original form. In the times of on-line media expansion when the on-line news servers use the service from agencies very frequently, the newspaper should not just copy the news from the Czech News Agency. Consequently, the thesis focuses on the approach of the newspaper to agency's...

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.000
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 head0.014
GPT teacher head0.257
Teacher spread0.243 · 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 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

Citations0
Published2011
Admission routes1
Has abstractyes

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