Etude comparative de l'acte d'invitation dans les cartes d'invitation au mariage en français et en vietnamien.

Cette recherche porte sur l’acte d’invitation au mariage eta pour but,d’abord, de révéler les caractéristiques de tel acte dans les cartes d’invitation en français et en vietnamien puis d’identifier des ressemblances et des différences qui sont culturellement déterminées. Pour ce faire, nous avons décrit la formulation et le fonctionnement pragmatique des cartes d’invitation au mariage dans les deux langues du point de vue de la politesse linguistique. Le résultat de l’analyse nous a permis, par la suite, d’identifierles particularités dans la formulation des cartes ainsi que dansles stratégies de politesse privilégiées dans les deux communautés française et vietnamienne. Cette étude nous amène à conclure qu’à la différence de l’individualité qui caractérise la culture occidentale y compriscelle de la France, les Vietnamiens, de tradition de riziculture, mettent beaucoup plus d’importance sur le respect de l’honneur, et ont peur de perdre la face, de faire perdre celle de l’autre, d’être différents des autres, d’être hors du commun. Par conséquent,ils optent très souvent pour des modèles traditionnels de cartes d’invitation sans trop d’éléments de personnalisation et privilégient la politesse positive.

A interação e a (im)polidez nos fóruns da comunidade orkuteana "Belém"

As redes sociais do ciberespaço têm se configurado como um fenômeno cada vez mais comum em nossos dias. É fácil perceber que o advento da internet ampliou não só as modalidades de leitura e escrita, como também a interação entre os seus usuários - e é sobre esta última que o presente estudo se debruça. Nossa proposta é analisar o fenômeno da polidez na interação entre participantes de sete discussões sobre assuntos ligados à Universidade Federal do Pará (UFPA), postadas nos fóruns na comunidade "Belém", do site Orkut. Para tanto, pautamo-nos especialmente na abordagem sociológica de Goffman (1967), nos estudos sobre enquadres interativos de Tannen e Wallat (2002 [1987]), nas investigações de Gumperz (2002 [1982]) acerca das pistas de contextualização e nos estudos de Kerbrat-Orecchioni (1992, 1997, 1998, 2006) sobre as relações interpessoais e polidez. Sobre esta, apresentamos os modelos seminais de Brown e Levinson (1987 [1978]), considerando suas referências aos trabalhos de Searle (1969), acerca dos atos de fala, e ao de Grice (1975), no que diz respeito ao Princípio de Cooperação e suas máximas e implicaturas conversacionais. Também discutimos o modelo de Leech (1983), que trata do Príncipio Geral da Polidez, a partir de suas observações sobre as máximas gricerianas. Ainda com relação aos estudos sobre polidez linguística, discorremos sobre a noção de contrato social, presente no trabalho de Fraser e Nolan (1981, apud OLIVEIRA, 2004), e destacamos a extensa e relevante contribuição de Kerbrat-Orecchioni (1992, 1997, 1998, 2006) ao modelo de Brown e Levinson, com a introdução da noção de atos valorizantes de face (face flatteringactsou FFA), dissociação de face positiva e face negativa de polidez positiva e polidez negativa, respectivamente, introdução da noção do fenômeno da impolidez, além dos procedimentos de polidez linguística distinguidos pela linguista. Em nossa conclusão, verificamos que os efeitos de sentido de polidez negativa e de impolidez positiva são os que predominam nos fóruns analisados, especialmente quando os usuários tratam de temas polêmicos, na urgência, talvez, de defender seus pontos de vista com exatidão - ora com mitigação (polidez negativa), para não gerar embates agressivos; ora sem mitigação (impolidez positiva), no intuito de validar seus posicionamentos. A polidez positiva e a impolidez negativa não se sobressaíram em nossos dados. Esta é uma investigação de cunho empírico-indutivo, que privilegia a análise qualitativa de realizações linguístico-discursivas de fato ocorridas em situações reais de uso da língua.

An Investigation of Cognitive, Emotional and Negative Behavioural Responses to Service Recovery Strategies

Despite the best intentions of service providers and organisations, service delivery is rarely error-free. While numerous studies have investigated specific cognitive, emotional or behavioural responses to service failure and recovery, these studies do not fully capture the complexity of the services encounter. Consequently, this research develops a more holistic understanding of how specific service recovery strategies affect the responses of customers by combining two existing models—Smith & Bolton’s (2002) model of emotional responses to service performance and Fullerton and Punj’s (1993) structural model of aberrant consumer behaviour—into a conceptual framework. Specific service recovery strategies are proposed to influence consumer cognition, emotion and behaviour. This research was conducted using a 2x2 between-subjects quasi-experimental design that was administered via written survey. The experimental design manipulated two levels of two specific service recovery strategies: compensation and apology. The effect of the four recovery strategies were investigated by collecting data from 18-25 year olds and were analysed using multivariate analysis of covariance and multiple regression analysis. The results suggest that different service recovery strategies are associated with varying scores of satisfaction, perceived distributive justice, positive emotions, negative emotions and negative functional behaviour, but not dysfunctional behaviour. These finding have significant implications for the theory and practice of managing service recovery.

The relationship between significant others' positive and negative statements, self-talk and self-esteem

This study investigated the effect of self-talk in mediating between positive and negative statements made by significant others and self-esteem with children in grades 3 to 7. Students completed questionnaires on the frequency of positive and negative statements from parents, teachers, and peers. Findings suggest that self-talk does mediate between significant others' statements and children's self-esteem.

The effect of social support derived from World of Warcraft on negative psychological symptoms

Previous research examining players of Massively-Multiplayer Online Games (MMOGs) suggests that players form meaningful relationships with each other. Other research indicates that people may derive social support from online sources and this social support has been associated with greater wellbeing. This study used an online survey of players (N = 206) of the MMOG “World of Warcraft” (WoW) to examine if social support can be derived from MMOGs, and to examine its relationship with negative psychological symptoms. Players of WoW were found to derive social support from playing and a positive relationship was found between game engagement and levels of in-game social support. Higher levels of in-game social support were associated with fewer negative psychological symptoms, although this effect was not maintained after accounting for social support derived from the offline sources. Additionally, a small subsample of players (N = 21) were identified that played for between 44 and 82 hours per week (M = 63.33). These players had significantly lower levels of offline social support and higher levels of negative symptoms compared to the rest of the sample. This study provides evidence that social support can be derived from MMOGs and the associated potential to promote well being, but also highlights the potential harm from spending excessive hours playing.

Children's self-talk and significant others' positive and negative statements

A sample of 675 elementary school children in Grades 3-7 were administered the Self-talk Inventory and the Significant Others' Statements Inventory. The psychometric properties of both scales were investigated and the relationships between positive and negative self-talk and significant others' (parents, teachers, siblings and peers) positive and negative statements were explored using correlational and multiple regression analyses. Sex and age differences were also examined. The significant relationships and differences are described.

Cough-generated aerosols of Pseudomonas aeruginosa and other Gram Negative Bacteria from cystic fibrosis patients.

Background: Pseudomonas aeruginosa is the most common bacterial pathogen in cystic fibrosis (CF) patients. Current infection control guidelines aim to prevent transmission via contact and respiratory droplet routes and do not consider the possibility of airborne transmission. We hypothesized that with coughing, CF subjects produce viable, respirable bacterial aerosols. Methods: Cross-sectional study of 15 children and 13 adults with CF, 26 chronically infected with P. aeruginosa. A cough aerosol sampling system enabled fractioning of respiratory particles of different size, and culture of viable Gram negative non-fermentative bacteria. We collected cough aerosols during 5 minutes voluntary coughing and during a sputum induction procedure when tolerated. Standardized quantitative culture and genotyping techniques were used. Results: P. aeruginosa was isolated in cough aerosols of 25 (89%) subjects of whom 22 produced sputum samples. P. aeruginosa from sputum and paired cough aerosols were indistinguishable by molecular typing. In 4 cases the same genotype was isolated from ambient room air. Approximately 70% of viable aerosols collected during voluntary coughing were of particles ≤ 3.3 microns aerodynamic diameter. P. aeruginosa, Burkholderia cenocepacia Stenotrophomonas maltophilia and Achromobacter xylosoxidans were cultivated from respiratory particles in this size range. Positive room air samples were associated with high total counts in cough aerosols (P=0.003). The magnitude of cough aerosols were associated with higher FEV1 (r=0.45, P=0.02) and higher quantitative sputum culture results (r=0.58, P=0.008). Conclusion: During coughing, CF patients produce viable aerosols of P. aeruginosa and other Gram negative bacteria of respirable size range, suggesting the potential for airborne transmission.

Mining Negative Relevance Feedback for Information Filtering

It is a big challenge to clearly identify the boundary between positive and negative streams. Several attempts have used negative feedback to solve this challenge; however, there are two issues for using negative relevance feedback to improve the effectiveness of information filtering. The first one is how to select constructive negative samples in order to reduce the space of negative documents. The second issue is how to decide noisy extracted features that should be updated based on the selected negative samples. This paper proposes a pattern mining based approach to select some offenders from the negative documents, where an offender can be used to reduce the side effects of noisy features. It also classifies extracted features (i.e., terms) into three categories: positive specific terms, general terms, and negative specific terms. In this way, multiple revising strategies can be used to update extracted features. An iterative learning algorithm is also proposed to implement this approach on RCV1, and substantial experiments show that the proposed approach achieves encouraging performance.

An effective model of using negative relevance feedback for information filtering

Over the years, people have often held the hypothesis that negative feedback should be very useful for largely improving the performance of information filtering systems; however, we have not obtained very effective models to support this hypothesis. This paper, proposes an effective model that use negative relevance feedback based on a pattern mining approach to improve extracted features. This study focuses on two main issues of using negative relevance feedback: the selection of constructive negative examples to reduce the space of negative examples; and the revision of existing features based on the selected negative examples. The former selects some offender documents, where offender documents are negative documents that are most likely to be classified in the positive group. The later groups the extracted features into three groups: the positive specific category, general category and negative specific category to easily update the weight. An iterative algorithm is also proposed to implement this approach on RCV1 data collections, and substantial experiments show that the proposed approach achieves encouraging performance.