Spordi otsereportaaž Vancouveri taliolümpiamängudel ETV, NBC, CTV, SVT, YLE, ZDF ja Eurospordi näitel
Notice bibliographique
Résumé
Sports Live Broadcast on the Vancouver Winter Olympics based on the coverage of \nETV, NBC, CTV, SVT, YLE, ZDF and Eurosport. \nThe main purpose of this bachelor’s thesis was to examine the genre of television live sports \nbroadcast. The comparison was based on the 2010 Vancouver Winter Olympics broadcasts on \nETV, NBC, CTV, Eurosport, SVT, YLE and ZDF. Focus was on the sportscasting and the \nroles of reporter and expert. Both quantitative and qualitative content analysis was used when \ncomparing recordings of three different types of Winter Olympic events – ice hockey, crosscountry \nskiing and figure skating. \nIt was discovered that diversity between broadcasting different events were more significant \nthan diversity between broadcasters. The main disciminating factor within the sport itself \nwas its pace. For example, figure skating is a lower pace sport and because of this the broadcast \nturned out to be more conversational and there was less description of live action. As a \nresult, expert got more time in the broadcast. Ice hockey, to the contrary, has a higher pace, so \nmost of the time went into describing immediate actions leaving less time for expert’s commentaries. \nReporters’ and experts’ work was also influenced by the agreed share of their roles. It \nturned out that the North-American broadcasts had thoroughly defined the role of expert and \nthis meant that experts were given more time to be involved in the broadcast. Contrary to this, \nin European and especially in Estonian broadcasts the reporters often abandoned the role of \nmediator and took over many traditional roles of expert. This meant that often reporter’s so \ncalled expert opinion had doubtful value and experts themselves had a lesser role in the \nbroadcast. \nAccording to the former Estonian sportscaster Toomas Uba (1968) the most important \nrole of the reporter is to be the mediator of the emotional tension curve in the sports broadcast. \nIt turned out that reporters have basically two methods to differentiate critical and less \nintensive moments: first, faster and more intensive way of speaking versus calmer conversational \nstyle, and second, more description of live action versus more background information. \nEstonian Television broadcasts differed from other broadcasts mostly in the cooperation \nof commentators. The main factor in this category for Estonian Television was the sound delay \nand distance between reporter and expert. Both were caused by the fact that reporter was \ncommenting on spot in Vancouver and expert had to comment at the same time in Estonia. \nFrom all the broadcasters analyzed only Estonian Television had this problem. It can be said \nthat this sort of different positioning of the commentators is a cheaper way of broadcasting, \nbut it sets unnecessary limits to commenting and hampers its quality. \nAnother negative aspect of Estonian Television broadcasts was the fact that all experts had \nvery little experience in sportscasting. This meant that the experts were bad talkers and the cooperation \nof the commentators was rugged. \nTo conclude, one may say that the main flaws of Estonian sports broadcasts are related to \nweak cooperation between commentators, poor training of experts and vagueness of experts’ \nrole. At the same time, Estonian sports reporters do not differ much from sports reporters of \nthe rest of the world – the difference between sports events is much more significant than the \ndifference between reporters.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».