858 resultados para television audiences


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The interconnected domains are attracting interest from industries and academia, although this phenomenon, called ‘convergence’ is not new. Organizational research has indeed focused on uncovering co-creation for manufacturing and the industrial organization, with limited implications to entrepreneurship. Although convergence has been characterized as a process connecting seemingly disparate disciplines, it is argued that these studies tend to leave the creative industries unnoticed. With the art market boom and new forms of collaboration riding past the institution-focused arts marketing literature, this thesis takes a leap to uncover the processes of entrepreneurship in the emergence of a cultural product. As a symbolic work of synergism itself, the thesis combines organizational theory with literature in natural sciences and arts. Assuming nonlinearity, a framework is created for analysing aesthetic experience in an empirical event where network actors are connected to multiple contexts. As the focal case in study, the empirical analysis performed for a music festival organized in a skiing resort in the French Alps in March. The researcher attends the festival and models its cocreation process by enquiring from an artist, festival organisers, and a festival visitor. The findings contribute to fields of entrepreneurship, aesthetics and marketing mainly. It is found that the network actors engage in intimate and creative interaction where activity patterns are interrupted and cultural elements combined. This process is considered to both create and destruct value, through identity building, legitimisation, learning, and access to larger audiences, and it is considered particularly useful for domains where resources are too restrained for conventional marketing practices. This thesis uncovered the role of artists and informants and posits that particularly through experience design, this type of skilled individual be regarded more often as a research informant. Future research is encouraged to engage in convergence by experimenting with different fields and research designs, and it is suggested that future studies could arrive at different descriptive results.

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Kirjallisuusarvostelu

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Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

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Kirjallisuusarvostelu

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To establish the incidence of type 1 diabetes among children (infants to 14 years of age) in the city of Passo Fundo, Rio Grande do Sul, Brazil (population under 15 years = 50,098), during the period of January to December 1996, a retrospective and prospective population-based registry was established, using physician reports of newly diagnosed patients under 15 years of age with type 1 diabetes as the primary source of case identification. Primary and nursery schools and a general call through the media (newspapers, radio and television) was the secondary source. Data were calculated according to the methods recommended by the WHO (1990). Six new cases were identified. Case ascertainment was estimated at 100%. The incidence of type 1 diabetes in the year 1996 was 12/100,000 inhabitants. These data indicate that the incidence of childhood type 1 diabetes in a subtropical region in the Southern part of Brazil was similar to that observed in developed countries throughout the world. The inability to demonstrate the North-South gradient is probably due to the European origin of inhabitants of the city.

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Älytelevisiomarkkinat ovat nykyisellään pirstaloituneet eri valmistajien kehittäessä omia älytelevisioalustoitaan, mikä tekee sovelluskehittämisestä erittäin työlästä, kun kehitystyö pitää tehdä jokaiselle alustalle erikseen. LG:n ja Philipsin perustama Smart TV Alliance pyrkii yksinkertaistamaan sovelluskehittäjien työtä, samalla houkutellen lisää kehittäjiä alalle. Työssä tutustutaan tuotealustoihin, avoimeen ja suljettuun innovaatioon, sekä alliansseihin. Lisäksi perehdytään älytelevisioihin sekä tietenkin itse Smart TV Allianceen. Lisäksi tarkastellaan nykyistä markkina-asetelmaa ja arvioidaan yksittäisten toimijoiden tilannetta ja mahdollisia toimenpiteitä. Työn painopiste on fyysisen laitevalmistajan ja käyttöjärjestelmän kehittäjän/ylläpitäjän näkökulmasta. Työn kannalta tärkeässä roolissa ovat ohjelmistopohjaiset tuotealustat. Eritoten työssä käsitellään älytelevisioiden ohjelmistoa tuotealustana, mutta hyvä vaihtoehtoinen ja eritoten monille käytännönläheisempi esimerkki on tietokoneen käyttöjärjestelmä, kuten Microsoft Windows tai useat Linux-pohjaiset käyttöjärjestelmät. Keskeisenä ominaisuutena näissä kaikissa on, että itse käyttöjärjestelmä toimii yhteisenä pohjana, jonka päälle voidaan rakentaa muuta toiminnallisuutta, kuten pelejä ja toimistosovelluksia.

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Tutkimus käsittelee venäläisessä sanomalehdistössä esiintyvää keskustelua Venäjän sotilasreformista. Tutkimuksessa haluttiin selvittää, millaisia diskursseja keskustelussa käytetään sotilasreformin oikeuttamiseksi ja miten ne toimivat vallankäytön välineenä. Tutkimus on monitieteinen. Se antaa vastauksia kielitieteellisessä kehyksessä kielen ja diskurssin roolista päätöksenteossa, yhteiskuntatieteellisessä kehyksessä venäläisestä mediasta ja päätöksentekojärjestelmästä sekä sotatieteellisessä kehyksessä asevoimien kehityksestä ja sotilaspolitiikasta. Tutkimuksen primääriaineisto muodostuu 220 artikkelista, jotka kerättiin yhdeksästä venäläisestä sanomalehdestä vuosien 2008–2012 ajalta. Venäjän johtohenkilöt ja heitä tukevat sanomalehdet oikeuttivat sotilasreformia julkisessa keskustelussa ensisijaisesti viiden syyn avulla: uhkien lisääntymisellä, sodan kuvan muutoksella, asevoimien kalustollisella ja toiminnallisella jälkeenjääneisyydellä, henkilöstön osaamisen alhaisella tasolla ja tarpeella toiminnan järkeistykseen. Sotilasreformin päätöksiä oikeutettiin vetoamalla niiden huolelliseen suunnitteluun, henkilöstön asialliseen kohteluun ja taloudellisten asioiden vakauteen. Sanomalehdistössä esiintyi paljon toisistaan poikkeavia näkemyksiä kehitykseen tarvittavasta suunnasta. Suurin osa kritisoivista diskursseista keskittyi kritisoimaan reformin toteutusta, ei sen olemassaoloa. Kritiikki keskittyi tiedotuksen ja demokraattisen päätöksenteon puutteeseen sekä epäilyksiin reformin valmisteluprosessista. Venäjän asevoimia ja sotilaspolitiikkaa koskevaa uutisointia on ongelmallista tarkastella ilman diskurssikäytäntöjen huomiointia. Venäjän johdon ja sen legitimiteettiä vahvistavien sanomalehtien diskursiivisen vallankäytön tavoitteena on saada Venäjä näyttämään todellisuutta vahvemmalta ja yhtenäisemmältä. Vaikka venäläinen media ja siinä etenkin televisio ei ole vapaata, sanomalehdistö on verrattain hyvä tiedonlähde. Sen varsin monipuolinen omistajuus tutkimusaineiston rajauksen aikana mahdollisti erilaisten näkökulmien esillepääsyn. Analyyttisimmin sotilasreformista uutisoivat ne sanomalehdet, jotka eivät nähneet länsimaita Venäjän uhkana ja representoivat diskursseissaan liberalistisia arvoja kuten avoimuutta ja demokratiaa. Sanomalehdistön vaatimaton rooli venäläisessä mediakentässä heikentää kuitenkin sen vaikuttavuutta yleiseen mielipiteeseen. Sanomalehtien diskurssikäytäntöjen analysointi ideologioiden ja vallankäytön kautta voi tarjota mahdollisuuksia parantaa venäläisen valtionjohdon päätösten ennustettavuutta.

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Presentation of Jussi-Pekka Hakkarainen, held at the Emtacl15 conference on the 20th of April 2015 in Trondheim, Norway.

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The emerging technologies have recently challenged the libraries to reconsider their role as a mere mediator between the collections, researchers, and wider audiences (Sula, 2013), and libraries, especially the nationwide institutions like national libraries, haven’t always managed to face the challenge (Nygren et al., 2014). In the Digitization Project of Kindred Languages, the National Library of Finland has become a node that connects the partners to interplay and work for shared goals and objectives. In this paper, I will be drawing a picture of the crowdsourcing methods that have been established during the project to support both linguistic research and lingual diversity. The National Library of Finland has been executing the Digitization Project of Kindred Languages since 2012. The project seeks to digitize and publish approximately 1,200 monograph titles and more than 100 newspapers titles in various, and in some cases endangered Uralic languages. Once the digitization has been completed in 2015, the Fenno-Ugrica online collection will consist of 110,000 monograph pages and around 90,000 newspaper pages to which all users will have open access regardless of their place of residence. The majority of the digitized literature was originally published in the 1920s and 1930s in the Soviet Union, and it was the genesis and consolidation period of literary languages. This was the era when many Uralic languages were converted into media of popular education, enlightenment, and dissemination of information pertinent to the developing political agenda of the Soviet state. The ‘deluge’ of popular literature in the 1920s to 1930s suddenly challenged the lexical orthographic norms of the limited ecclesiastical publications from the 1880s onward. Newspapers were now written in orthographies and in word forms that the locals would understand. Textbooks were written to address the separate needs of both adults and children. New concepts were introduced in the language. This was the beginning of a renaissance and period of enlightenment (Rueter, 2013). The linguistically oriented population can also find writings to their delight, especially lexical items specific to a given publication, and orthographically documented specifics of phonetics. The project is financially supported by the Kone Foundation in Helsinki and is part of the Foundation’s Language Programme. One of the key objectives of the Kone Foundation Language Programme is to support a culture of openness and interaction in linguistic research, but also to promote citizen science as a tool for the participation of the language community in research. In addition to sharing this aspiration, our objective within the Language Programme is to make sure that old and new corpora in Uralic languages are made available for the open and interactive use of the academic community as well as the language societies. Wordlists are available in 17 languages, but without tokenization, lemmatization, and so on. This approach was verified with the scholars, and we consider the wordlists as raw data for linguists. Our data is used for creating the morphological analyzers and online dictionaries at the Helsinki and Tromsø Universities, for instance. In order to reach the targets, we will produce not only the digitized materials but also their development tools for supporting linguistic research and citizen science. The Digitization Project of Kindred Languages is thus linked with the research of language technology. The mission is to improve the usage and usability of digitized content. During the project, we have advanced methods that will refine the raw data for further use, especially in the linguistic research. How does the library meet the objectives, which appears to be beyond its traditional playground? The written materials from this period are a gold mine, so how could we retrieve these hidden treasures of languages out of the stack that contains more than 200,000 pages of literature in various Uralic languages? The problem is that the machined-encoded text (OCR) contains often too many mistakes to be used as such in research. The mistakes in OCRed texts must be corrected. For enhancing the OCRed texts, the National Library of Finland developed an open-source code OCR editor that enabled the editing of machine-encoded text for the benefit of linguistic research. This tool was necessary to implement, since these rare and peripheral prints did often include already perished characters, which are sadly neglected by the modern OCR software developers, but belong to the historical context of kindred languages and thus are an essential part of the linguistic heritage (van Hemel, 2014). Our crowdsourcing tool application is essentially an editor of Alto XML format. It consists of a back-end for managing users, permissions, and files, communicating through a REST API with a front-end interface—that is, the actual editor for correcting the OCRed text. The enhanced XML files can be retrieved from the Fenno-Ugrica collection for further purposes. Could the crowd do this work to support the academic research? The challenge in crowdsourcing lies in its nature. The targets in the traditional crowdsourcing have often been split into several microtasks that do not require any special skills from the anonymous people, a faceless crowd. This way of crowdsourcing may produce quantitative results, but from the research’s point of view, there is a danger that the needs of linguists are not necessarily met. Also, the remarkable downside is the lack of shared goal or the social affinity. There is no reward in the traditional methods of crowdsourcing (de Boer et al., 2012). Also, there has been criticism that digital humanities makes the humanities too data-driven and oriented towards quantitative methods, losing the values of critical qualitative methods (Fish, 2012). And on top of that, the downsides of the traditional crowdsourcing become more imminent when you leave the Anglophone world. Our potential crowd is geographically scattered in Russia. This crowd is linguistically heterogeneous, speaking 17 different languages. In many cases languages are close to extinction or longing for language revitalization, and the native speakers do not always have Internet access, so an open call for crowdsourcing would not have produced appeasing results for linguists. Thus, one has to identify carefully the potential niches to complete the needed tasks. When using the help of a crowd in a project that is aiming to support both linguistic research and survival of endangered languages, the approach has to be a different one. In nichesourcing, the tasks are distributed amongst a small crowd of citizen scientists (communities). Although communities provide smaller pools to draw resources, their specific richness in skill is suited for complex tasks with high-quality product expectations found in nichesourcing. Communities have a purpose and identity, and their regular interaction engenders social trust and reputation. These communities can correspond to research more precisely (de Boer et al., 2012). Instead of repetitive and rather trivial tasks, we are trying to utilize the knowledge and skills of citizen scientists to provide qualitative results. In nichesourcing, we hand in such assignments that would precisely fill the gaps in linguistic research. A typical task would be editing and collecting the words in such fields of vocabularies where the researchers do require more information. For instance, there is lack of Hill Mari words and terminology in anatomy. We have digitized the books in medicine, and we could try to track the words related to human organs by assigning the citizen scientists to edit and collect words with the OCR editor. From the nichesourcing’s perspective, it is essential that altruism play a central role when the language communities are involved. In nichesourcing, our goal is to reach a certain level of interplay, where the language communities would benefit from the results. For instance, the corrected words in Ingrian will be added to an online dictionary, which is made freely available for the public, so the society can benefit, too. This objective of interplay can be understood as an aspiration to support the endangered languages and the maintenance of lingual diversity, but also as a servant of ‘two masters’: research and society.

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The subject of the thesis is automatic sentence compression with machine learning, so that the compressed sentences remain both grammatical and retain their essential meaning. There are multiple possible uses for the compression of natural language sentences. In this thesis the focus is generation of television program subtitles, which often are compressed version of the original script of the program. The main part of the thesis consists of machine learning experiments for automatic sentence compression using different approaches to the problem. The machine learning methods used for this work are linear-chain conditional random fields and support vector machines. Also we take a look which automatic text analysis methods provide useful features for the task. The data used for machine learning is supplied by Lingsoft Inc. and consists of subtitles in both compressed an uncompressed form. The models are compared to a baseline system and comparisons are made both automatically and also using human evaluation, because of the potentially subjective nature of the output. The best result is achieved using a CRF - sequence classification using a rich feature set. All text analysis methods help classification and most useful method is morphological analysis. Tutkielman aihe on suomenkielisten lauseiden automaattinen tiivistäminen koneellisesti, niin että lyhennetyt lauseet säilyttävät olennaisen informaationsa ja pysyvät kieliopillisina. Luonnollisen kielen lauseiden tiivistämiselle on monta käyttötarkoitusta, mutta tässä tutkielmassa aihetta lähestytään television ohjelmien tekstittämisen kautta, johon käytännössä kuuluu alkuperäisen tekstin lyhentäminen televisioruudulle paremmin sopivaksi. Tutkielmassa kokeillaan erilaisia koneoppimismenetelmiä tekstin automaatiseen lyhentämiseen ja tarkastellaan miten hyvin erilaiset luonnollisen kielen analyysimenetelmät tuottavat informaatiota, joka auttaa näitä menetelmiä lyhentämään lauseita. Lisäksi tarkastellaan minkälainen lähestymistapa tuottaa parhaan lopputuloksen. Käytetyt koneoppimismenetelmät ovat tukivektorikone ja lineaarisen sekvenssin mallinen CRF. Koneoppimisen tukena käytetään tekstityksiä niiden eri käsittelyvaiheissa, jotka on saatu Lingsoft OY:ltä. Luotuja malleja vertaillaan Lopulta mallien lopputuloksia evaluoidaan automaattisesti ja koska teksti lopputuksena on jossain määrin subjektiivinen myös ihmisarviointiin perustuen. Vertailukohtana toimii kirjallisuudesta poimittu menetelmä. Tutkielman tuloksena paras lopputulos saadaan aikaan käyttäen CRF sekvenssi-luokittelijaa laajalla piirrejoukolla. Kaikki kokeillut teksin analyysimenetelmät auttavat luokittelussa, joista tärkeimmän panoksen antaa morfologinen analyysi.

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Kirjallisuusarvostelu

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As human action, drinking alcohol or smoking cigarettes, for instance, are phenomena that are familiar to most people. We recognise when people use drugs or gamble whether that happens in the television or around us. Sometimes we call these actions addictions. Addictive actions are actions that puzzle us. This puzzlement has raised different kinds of views on addiction that describe the phenomenon in different ways. The proponents of the views pick features that they consider to be sufficient in capturing the phenomenon. The disease view emphasises that addicted individuals are not in control over their own actions, whereas the choice view highlights addicted individuals’ capacity to act according to their own preferences. Some see addiction as a defect of will and addictive action is a manifestation of that. Sometimes they all insist on referring to the same group of people and describing the same actions with seemingly contradictory terms. What happens when an addicted individual acts in accordance with his addiction? This thesis also tries to answer this question and make this kind of action and agency understandable. By showing that these three common views fall short of capturing the phenomenon, I will provide characteristics that jointly suffice for something to be labelled addiction, but which are not, however, individually necessary (or sufficient) for addiction. Those characteristics are strong desire, myopia, biased decision-making, and weakness of will. Furthermore, they should be understood in the framework of diachronic, active agency. They contribute to a view on addictive action that consists of different kinds of actions. Acknowledging the variety of nuanced human action, the understanding of addictive action is increased and this may also be utilised in addiction-related policies and treatment. The emphasis of my study lies specifically on understanding addiction as action by the means of analytical philosophy.

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Tutkielman tavoitteena on analysoida ohjaaja Eric Wareheimin musiikkivideoiden sisältämiä visuaalisia representaatioita ja selvittää, onko niillä ilmaisuna vastakulttuurista potentiaalia. Musiikkivideoiden jakelun ja katsomiskokemuksen siirtymä television kaapelikanavilta internetiin videopalvelimien sivuille viimeisen vuosikymmenen aikana, on muuttanut myös musiikkivideoiden kuvallista sisältöä. Kaapelikanavien ohjelmistopolitiikkaan kuuluva sensuuri ei ole enää ilmaisun esteenä internetissä löydettävien indie-videoiden kohdalla, joihin Wareheimin musiikkivideotuotanto pitkälti paikantuu. Wareheimin videoiden vastakulttuurisen merkityksen avaamiseen käytän tutkimuksessani näkemyksiä avantgardesta, karnevalismista ja camp-estetiikasta. Pyrin näillä poliittiseksi katsomillani näkökulmilla selvittämään lähiluvun kautta Wareheimin videoiden kuvallista voimaa vastakulttuurin muotona suhteuttaen niiden sisältöä aikaisempien vuosikymmenten ja nykyhetken valtavirtamusiikkivideoon. Analyysissani paljastuu, että Wareheimin musiikkivideoissa on uusia kuvallisia sisältöjä aikaisempaan valtavirtamusiikkivideon estetiikkaan nähden. Etnisyys, ruumis ja seksuaalisuus representoidaan videoissa kumouksellisella tavalla shokkihuumoriksi kutsuttavan tyylin kautta. Wareheimin musiikkivideot ottavat kantaa myös sosiaaliseen ja yhteiskunnalliseen järjestykseen rikkoen vaatimuksen valtakulttuurin sanelemasta kulttuurituotteiden sisällöllisestä poliittisesta korrektiudesta. Wareheimin musiikkivideot paljastuvat tutkimuksessani yhdenlaisen, populaarikulttuuriin lukeutuvan, vastakulttuurin visuaaliseksi ilmaisuksi.

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Kirjallisuusarvostelu

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Kirjallisuusarvostelu