The relational ethics of conflict and identity

The contemporary psychoanalytically inflected vocabulary of relational ethics centres on acknowledgement, witnessing and responsibility. It has become an important code for efforts to connect with otherness across fractures of hurt, oppression and suffering. One can see the deployment of this vocabulary to challenge patterns of exclusion and dehumanisation in zones of intense political conflict in many situations in which destructive hatred reigns. This paper traces some of the use of and disputes over this ‘acknowledgement-based’ relational ethics in the recent work of Jessica Benjamin and Judith Butler. The field of application is their response to Israel’s treatment of the Palestinians, given their position as Jews. The challenge of the acknowledgement agenda leads back to an issue of general concern – the degree to which relational ethics can prise open apparently closed and defensive psychosocial identities

Genre Analysis of Acknowledgement Texts by Pakistani Master Level Theses Writers

oai:ojs2.linguisticforum.com:article/1This study aims to investigate the lexical, structural and cultural elements in acknowledgement texts written by Pakistani candidates of master of philosophy degrees (18 years of education). For this purpose, a corpus of 100 acknowledgement texts has been developed and analyzed with the help of AntConc 3.4.4.0. Results reveal that Pakistani master level acknowledgement writers use gratitude markers extravagantly to thank their contributors and use high sounding adjectives exaggeratedly to increase the effect of thankfulness and glorify the acknowledged persons. Acknowledgement texts are a blend of different patterns which are the example of their own. Study concludes that Pakistani acknowledgement texts are affected by cultural, social and personal elements with the help of which Pakistani acknowledgers pay gratitude directly, emotionally and warmly using direct, emotional and rhetorical language

Acknowledgement Patterns in Research Articles: a Bibliometric Study based on Journal of Natural Rubber Research 1986-1997

Analyses the acknowledgements included in the research articles and short communications published in Journal of Natural Rubber Research (1986-1997) in respect of types, frequency of occurrence, individuals acknowledged, etc. Results indicate that 74% items contain acknowledgements; an average acknowledgement per item is 2.2; the most common type of acknowledgments relates to technical support. Peer interactive communication accounts for 44% of the total acknowledgements. The result of the study substantiates the earlier findings that a small number of individuals are highly acknowledged and the rest are acknowledged infrequently

Acknowledgment Of Sexual Violence And Mental Health Among College Students

A significant number of individuals who experience a form of sexual violence that could be classifiable as rape or sexual assault do not label their experience as such. Studies found that rape acknowledgement status can impact a survivor’s postassault experiences and recovery process. This study examined how a sample of 236 college students who experienced some form of sexual violence labeled their experience. The association between different degrees of acknowledgement and posttraumatic stress and depression symptoms was tested. 162 (68.6%) of respondents did not label their experience as unwanted; the remaining 74 (31.4%) varied in their labeling of the experience as unwanted, non-consensual, sexual assault, or rape. After accounting for the type of sexual violence experienced, the tactics used by the perpetuator, and frequency of lifetime victimization events, individuals reporting higher degrees of acknowledgement experienced greater levels of posttraumatic stress symptoms. This finding suggests that clinicians and service providers working with victims of sexual violence should be aware of the relationship between acknowledgement and mental health consequences to inform treatment approach. Further research is needed to understand how acknowledgement relates to different aspects of the recovery process and whether these patterns are consistent among different demographic groups

Reactions to Disability: An Empirical Investigation of Their Nature and Structure

This paper describes the initial steps toward the construction of an experimental, multidimensional inventory to measure reactions to physical disability. The Relations to Impairment and Disability Inventory (RIDI) was developed to provide information on eight patterns of psychosocial reactions to disability, namely: shock, anxiety, denial, depression, internalized anger, externalized hostility, acknowledgement and adjustment. Data are presented on initial psychometric analyses of the inventory. Analyses of the eight scales supported their homogeneity and relative independence, and the inventory\u27s construct validity was partially documented. A moderately high degree of relationship was found between the Acknowledgement and Adjustment scales and the Acceptance of Disability (AD) scale (Linkowski, 1971), providing partial support of the inventory\u27s criterion-related validity

A Model of Quark and Lepton Masses I: The Neutrino Sector

If neutrinos have masses, why are they so tiny? Are these masses of the Dirac type or of the Majorana type? We are already familiar with the mechanism of how to obtain a tiny Majorana neutrino mass by the famous see-saw mechanism. The question is: Can one build a model in which a tiny Dirac neutrino mass arises in a more or less "natural" way? What would be the phenomenological consequences of such a scenario, other than just merely reproducing the neutrino mass patterns for the oscillation data? In this article, a systematic and detailed analysis of a model is presented, with, as key components, the introduction of a family symmetry as well as a new SU(2) symmetry for the right-handed neutrinos. In particular, in addition to the calculations of light neutrino Dirac masses, interesting phenomenological implications of the model will be presented.Comment: 25 (single-spaced) pages, 11 figures, corrected some typos in Table I, added acknowledgement

A comprehensive analysis of acknowledgement texts in Web of Science: a case study on four scientific domains

Analysis of acknowledgments is particularly interesting as acknowledgments may give information not only about funding, but they are also able to reveal hidden contributions to authorship and the researcher’s collaboration patterns, context in which research was conducted, and specific aspects of the academic work. The focus of the present research is the analysis of a large sample of acknowledgement texts indexed in the Web of Science (WoS) Core Collection. Record types "article" and "review" from four different scientific domains, namely social sciences, economics, oceanography and computer science, published from 2014 to 2019 in a scientific journal in English were considered. Six types of acknowledged entities, i.e., funding agency, grant number, individuals, university, corporation and miscellaneous, were extracted from the acknowledgement texts using a named entity recognition tagger and subsequently examined. A general analysis of the acknowledgement texts showed that indexing of funding information in WoS is incomplete. The analysis of the automatically extracted entities revealed differences and distinct patterns in the distribution of acknowledged entities of different types between different scientific domains. A strong association was found between acknowledged entity and scientific domain, and acknowledged entity and entity type. Only negligible correlation was found between the number of citations and the number of acknowledged entities. Generally, the number of words in the acknowledgement texts positively correlates with the number of acknowledged funding organizations, universities, individuals and miscellaneous entities. At the same time, acknowledgement texts with the larger number of sentences have more acknowledged individuals and miscellaneous categories.Die Analyse von Danksagungstexten in wissenschaftlichen Veröffentlichungen ist besonders interessant, da sie nicht nur Aufschluss über die Finanzierung geben, sondern auch verborgene Beiträge zur Autorenschaft und zu den Kooperationsmustern der Forschenden, zum Kontext, in dem die Forschung durchgeführt wurde, sowie zu bestimmten Aspekten der wissenschaftlichen Arbeit offenlegen können. Der Schwerpunkt dieser Publikation liegt auf der Analyse einer großen Stichprobe von Danksagungstexten, die in der Web of Science (WoS) Core Collection indexiert sind

Indigenization of Thesis Acknowledgement in English as a Foreign Language in Indonesia

This study is an attempt of investigating the rhetoric of thesis acknowledgement by English Department Students. Data of this study are composed of 200 students' thesis acknowledgements written over a period of ten years (1997-2007). The Thesis acknowledgements (TAs) were collected solely from the English Department of Widya Mandala Chatolic University. The study shows that the students' TAs (a) are colored with various kinds of formulaic expression, Grice's maxim flouting, and parallel syntactic construction, (2) employ Hierarchical Pattern of gratitude expression, and circular or repetitive patterns of thought