47 resultados para Sentiment de compétence


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In recent times there have been claims that the sentencing of serious juvenile offenders does not reflect community sentiment and legal policies are based on outdated ideas about adolescent development. The findings of this thesis call into question the suggestions that the law's assumptions about the development of competence is out of step with community attitudes and developmental research. The professional portfolio examines several hypotheses that have been generated to explain why disabled individuals engage in sexually inappropriate behaviour. It also highlights the importance of exploring the aetiology of this behaviour. Four case reports are presented.

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Since its inception in 1921, a number of successive regimes have sought to politicize Iraq’s cultural history in order to build nationalistic sentiment and social cohesion across this rich and complex nation. Foremost among these were the Baath party, particularly under the rule of Saddam Hussein, who used much of the nation’s Oil wealth to undergo an extensive nation-building campaign. However, with the invasion of Iraq by the US in 2003 came the deliberate destruction and blatant negligence of the occupying forces. In addition, Iraqi civilians targeted the cultural landscape of their nation with wanton looting and arson, as well as systematic attacks on sites of archaeological or ethno-religious significance. More recently, the Shia and Kurdish dominated Iraqi Government have organised the “Committee for Removing Symbols of the Saddam Era” and plan to purge the state of its Sunni dominated past. This paper argues that the destruction of Iraq’s cultural history has played a part in eroding the national identity that many of these symbols and institutions were designed to promulgate. In turn, this has brought about the rise of ethno/religious sectarianism in Iraq which has had particular implications for the nation’s fledgling democratic order.

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Background. There are a large number of factors mediating suicide. Many studies have searched for a direct causal relationship between economic hardship and suicide, however, findings have been varied.

Method. Suicide data was obtained from the Australian Bureau of Statistics for the period between January 1968 and August 2002. These were correlated with a suite of macroeconomic data including housing loan interest rates, unemployment rates, days lost to industrial disputes, Consumer Price Index, gross domestic product, and the Consumer Sentiment Index.

Results.
A total of 51 845 males and 16 327 females committed suicide between these dates. There were significant associations between suicide rates and eleven macroeconomic indicators for both genders in at least one age range. Data was divided into male and female and five age ranges and pooled ages. Analyses were conducted on these 132 datasets resulting in 80 significant findings. The data was generally stronger for indices measuring economic performance than indices measuring consumers’ perceptions of the state of the economy. A striking difference between male and female trends was seen. Generally, male suicide rates increased with markers of economic adversity, while the opposite pattern was seen in females. There were significantly different patterns in age-stratified data, with for example higher housing loan interest rates having a positive association with suicide in younger people and a negative association in older age groups.

Conclusion. Macroeconomic trends are significantly associated with suicide. The patterns in males and females are very different, and there are further substantial age-related differences.

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Research focussed on recent amendments to Victorian homicide defence legislation, investigating community decisions in cases where a fatality followed an alleged sexual assualt. Findings suggest that legislation may not match community sentiment and jurors require comprehensive instructions. Further, relationship history, accused, deceased and juror gender have an impact on verdict.

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Nine mature aged, experienced practitioners enrolled to gain a BSW qualification in social work were interviewed regarding a course requirement to complete the first placement. At the time of interview no recognition of prior learning for previous experience in the field was made possible for these students. As educators we had experienced considerable hostility from students who believed they should be exempt from completing this course requirement. This paper reports on interviews with the nine students, where we consider how student sentiment about completing the practice learning component might impact upon their learning experience. As anticipated, some students expressed strong negative views about being on placement. However, others were much more positive about the experience. These mixed views prompted us to explore further the relationship between emotion and practice learning. The article begins with a review of the literature concerning mature student engagement with tertiary education, followed by an overview of theory and research related to the ways feelings and emotion influence learning. Using passages from the interviews, expressions of participant anxiety, anger and excitement about the practicum are discussed with the view to extending discourse about practicum learning to include consideration of emotional intelligence and investment.

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We develop an algorithm for the detection and classification of affective sound events underscored by specific patterns of sound energy dynamics. We relate the portrayal of these events to proposed high level affect or emotional coloring of the events. In this paper, four possible characteristic sound energy events are identified that convey well established meanings through their dynamics to portray and deliver certain affect, sentiment related to the horror film genre. Our algorithm is developed with the ultimate aim of automatically structuring sections of films that contain distinct shades of emotion related to horror themes for nonlinear media access and navigation. An average of 82% of the energy events, obtained from the analysis of the audio tracks of sections of four sample films corresponded correctly to the proposed affect. While the discrimination between certain sound energy event types was low, the algorithm correctly detected 71% of the occurrences of the sound energy events within audio tracks of the films analyzed, and thus forms a useful basis for determining affective scenes characteristic of horror in movies.

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Most existing work on learning community structure in social network is graph-based whose links among the members are often represented as an adjacency matrix, encoding direct pairwise associations between members. In this paper, we propose a method to group online communities in blogosphere based on the topics learnt from the content blogged. We then consider a different type of online community formulation - the sentiment-based grouping of online communities. The problem of sentiment-based clustering for community structure discovery is rich with many interesting open aspects to be explored. We propose a novel approach for addressing hyper-community detection based on users' sentiment. We employ a nonparametric clustering to automatically discover hidden hyper-communities and present the results obtained from a large dataset.

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The scale and dynamicity of social media, and interaction between traditional news sources and online communities, has created challenges to information retrieval approaches. Users may have no clear information need or be unable to express it in the appropriate idiom, requiring instead to be oriented in an unfamiliar domain, to explore and learn. We present a novel data-driven visualization, termed Eventscape, that combines time, visual media, mood, and controversy. Formative evaluation highlights the value of emotive facets for rapid evaluation of mixed news and social media topics, and a role for such visualizations as pre-cursors to deeper search. Copyright 2011 ACM.

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A convergence of emotions among people in social networks is potentially resulted by the occurrence of an unprecedented event in real world. E.g., a majority of bloggers would react angrily at the September 11 terrorist attacks. Based on this observation, we introduce a sentiment index, computed from the current mood tags in a collection of blog posts utilizing an affective lexicon, potentially revealing subtle events discussed in the blogosphere. We then develop a method for extracting events based on this index and its distribution. Our second contribution is establishment of a new bursty structure in text streams termed a sentiment burst. We employ a stochastic model to detect bursty periods of moods and the events associated. Our results on a dataset of more than 12 million mood-tagged blog posts over a 4-year period have shown that our sentiment-based bursty events are indeed meaningful, in several ways.

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The explosion of the Web 2:0 platforms, with massive volume of user generated data, has presented many new opportunities as well as challenges for organizations in understanding consumer's behavior to support for business planning process. Feature based sentiment mining has been an emerging area in providing tools for automated opinion discovery and summarization to help business managers with achieving such goals. However, the current feature based sentiment mining systems were only able to provide some forms of sentiments summary with respect to product features, but impossible to provide insight into the decision making process of consumers. In this paper, we will present a relatively new decision support method based on Choquet Integral aggregation function, Shapley value and Interaction Index which is able to address such requirements of business managers. Using a study case of Hotel industry, we will demonstrate how this technique can be applied to effectively model the user's preference of (hotel) features. The presented method has potential to extend the practical capability of sentiment mining area, while, research findings and analysis are useful in helping business managers to define new target customers and to plan more effective marketing strategies.

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Purpose – The application of “Google” econometrics (Geco) has evolved rapidly in recent years and can be applied in various fields of research. Based on accepted theories in existing economic literature, this paper seeks to contribute to the innovative use of research on Google search query data to provide a new innovative to property research.

Design/methodology/approach – In this study, existing data from Google Insights for Search (GI4S) is extended into a new potential source of consumer sentiment data based on visits to a commonly-used UK online real-estate agent platform (Rightmove.co.uk). In order to contribute to knowledge about the use of Geco's black box, namely the unknown sampling population and the specific search queries influencing the variables, the GI4S series are compared to direct web navigation.

Findings – The main finding from this study is that GI4S data produce immediate real-time results with a high level of reliability in explaining the future volume of transactions and house prices in comparison to the direct website data. Furthermore, the results reveal that the number of visits to Rightmove.co.uk is driven by GI4S data and vice versa, and indeed without a contemporaneous relationship.

Originality/value – This study contributes to the new emerging and innovative field of research involving search engine data. It also contributes to the knowledge base about the increasing use of online consumer data in economic research in property markets.

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An intense and sometimes disturbing series of encounters between the filmmaker and his mother as they relive the traumatic years of his childhood and adolescence. Following the migration of the family to Australia from Holland in the difficult postwar years they had to grapple with problems of housing, social injustice and adjustment made more difficult by the father's mental illness. For the filmmaker 'the sentiment had to be uncompromisingly true' although he became aware that 'all film is fiction'.

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We present a large-scale mood analysis in social media texts. We organise the paper in three parts: (1) addressing the problem of feature selection and classification of mood in blogosphere, (2) we extract global mood patterns at different level of aggregation from a large-scale data set of approximately 18 millions documents (3) and finally, we extract mood trajectory for an egocentric user and study how it can be used to detect subtle emotion signals in a user-centric manner, supporting discovery of hyper-groups of communities based on sentiment information. For mood classification, two feature sets proposed in psychology are used, showing that these features are efficient, do not require a training phase and yield classification results comparable to state of the art, supervised feature selection schemes, on mood patterns, empirical results for mood organisation in the blogosphere are provided, analogous to the structure of human emotion proposed independently in the psychology literature, and on community structure discovery, sentiment-based approach can yield useful insights into community formation.

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Sigmund Freud’s 1927 work The Future of Illusion expresses the great psychoanalyst’s most whiggish assessment of the situation of Western, post-enlightenment societies. In it, Freud reanimates the ancient tradition of the materialist-Epicurean criticism of religion, with its skepticism concerning all invisible powers. For Freud, famously, the religious belief in higher, supernatural deities—particularly, the monotheistic God—represents a wish-fulfillment and illusion (Freud 1927: 30, 43). This illusion takes its particular shapes from our earliest childhood experiences of helplessness, and the longing for an all-protecting, omnibenevolent father. With the progress of science, and its benefits in technology, Freud opined that the period of the cultural pre-eminence of religion in the West was over. Civilization and its Discontents, written 3 years later, expresses a similarly sceptical assessment of religion. Whether founded in an oceanic, mystical sentiment of oneness, or the refined language of the theologians, religion remains for Freud ‘patently infantile’ (Freud 1930: 86). Between 1927 and 1930, however, Freud’s assessment of the wider prospects of modern Kultur shifted, if it did not entirely reverse. With the fortunes of fascism rising, and the first clouds of renewed European war forming on the horizon, Freud now argues that the psychological price demanded by the modern world’s manifold civilizational advances is perhaps too high. The sexual and aggressive impulses modern society demands subjects renounce must return in the forms of organized violence, collective and individual neuroses—and in the same form of unconscious guilt Freud had argued elsewhere animated the totems and taboos of the great religions (Freud 1913, 1938). Although Freud did not draw the conclusion, the logic of his wider Kulturpessimismus points to the claim that the psychologically deep-set ‘illusions’ of religion could expect a long and viable future.