The understanding of law and science as fundamentally different two systems, in which fact stands against justice, rapid progress against prudent process, is far too simple to be valid. Nonetheless, such account is commonly employed to explain the tension between law and science or justice and truth. Previous STS research raises fundamental doubts upon the off-the-shelf concept of "scientific truth" that can be introduced to the court for legal judgment. Delimiting the qualification of the expert, the value of the expert knowledge, or the criteria of the scientific expertise have always included social negotiation. What are the values that are affecting the boundary-making of the thing called "modern science" that is supposedly useful in solving legal conflicts? How do the value of law and the meaning of justice change as the boundaries of modern science take shapes? What is the significance of "science" when it is emphasized, particularly in relation to the legal provisions of paternity, and how does this perception of science affect unfoldings of legal disputes? In order to explore the answers to the above questions, we follow a process in which a type of "knowledge-deficient model" of a court-that is, law lags behind science and thus, under-employs its useful functions-can be closely examined. We attend to a series of discussions and subsequent changes that occurred in the US courts between 1930s and 1970s, when blood type tests began to be used to determine parental relations. In conclusion, we argue that it was neither nature nor truth in itself that was excavated by forensic scientists and legal practitioners, who regarded blood type tests as a truth machine. Rather, it was their careful practices and crafty narratives that made the roadmaps of modern science, technology, and society on which complex tensions between modern states, families, and courts were seen to be "resolved".
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.18
no.3
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pp.17-32
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2023
In recent years, the need for social ventures that aim to grow while solving social problems through the efficiency and effectiveness of commercial organizations in the market has increased, while there is a limit to how much the government and the public can do to solve social problems. Against this background, the number of social venture startups is increasing in the domestic startup ecosystem, and interest in impact investors, which are investors in social ventures, is also increasing. Therefore, this research utilized judgment analysis technology to objectively analyze the validity and weight of judgment information based on the cognitive process and decision-making environment in the investment decision-making of impact investors. We proceeded with the research by constructing three classifications; first, investment priorities at the initial investment stage for financial benefit and return on investment as an investor, second, the political skills of the entrepreneurs (teams) for the social impact and ripple power, and social venture coexistence and solidarity, third, the social mission of a social venture that meets the purpose of an impact investment fund. As a result of this research, first of all, the investment decision-making priorities of impact investors are the expertise of the entrepreneur (team), the potential rate of return when the entrepreneur (team) succeeds, and the social mission of the entrepreneur (team). Second, impact investors do not have a uniform understanding of the investment decision-making factors, and the factors that determine investment decisions are different, and there are differences in the degree of the weighting. Third, among the various investment decision-making factors of impact investment, "entrepreneur's (team's) networking ability", "entrepreneur's (team's) social insight", "entrepreneur's (team's) interpersonal influence" was relatively lower than the other four factors. The practical contribution through this research is to help social ventures understand the investment determinant factors of impact investors in the process of financing, and impact investors can be expected to improve the quality of investment decision-making by referring to the judgment cases and analysis of impact investors. The academic contribution is that it empirically investigated the investment priorities and weighting differences of impact investors.
The current paper presents a system dynamics model which can generate the land use anq transportation system performance simultaneously is proposed. The model system consists of 7 submodels (population, migration of population, household, job growth-employment-land availability, housing development, travel demand, and traffic congestion level), and each of them is designed based on the causality functions and feedback loop structure between a large number of physical, socio-economic, and policy variables. The important advantages of the system dynamics model are as follows. First, the model can address the complex interactions between land use and transportation system performance dynamically. Therefore, it can be an effective tool for evaluating the time-by-time effect of a policy over time horizons. Secondly, the system dynamics model is not relied on the assumption of equilibrium state of urban systems as in conventional models since it determines the state of model components directly through dynamic system simulation. Thirdly, the system dynamics model is very flexible in reflecting new features, such as a policy, a new phenomenon which has not existed in the past, a special event, or a useful concept from other methodology, since it consists of a lots of separated equations. In Chapter I, II, and III, overall approach and structure of the model system are discussed with causal-loop diagrams and major equations. In Chapter V _, the performance of the developed model is applied to the analysis of the impact of highway capacity expansion on land use for the area of Montgomery County, MD. The year-by-year impacts of highway capacity expansion on congestion level and land use are analyzed with some possible scenarios for the highway capacity expansion. This is a first comprehensive attempt to use dynamic system simulation modeling in simultaneous treatment of land use and transportation system interactions. The model structure is not very elaborate mainly due to the problem of the availability of behavioral data, but the model performance results indicate that the proposed approach can be a promising one in dealing comprehensively with complicated urban land use/transportation system.
This study is to study Adler's individual psychology and to study the counseling process and counseling techniques based on the counseling theory derived there. The progress of Adler's consultation process is first, and the relationship formation phase is the phase of seeking equal and mutually cooperative relations working as active partners toward agreed objectives between the counselor and the counsellor. Second, the lifestyle search phase is an important goal to understand lifestyle and how lifestyle affects life's task. Third, the insight phase is the one that has insight. Fourth, it is carried out in the financial direction (transformation of behavior). Adler's counseling techniques include general techniques and special techniques, and general techniques include promptness, advice, encouragement, paradoxical intentions, demonstration of poetry, and role play. Special techniques include pressing a doorbell, spitting on a physician's soup, Midas technique, entertaining others, avoiding low-quality children and self-restraint. In conclusion, individual psychological counseling is based on growth model, not medical model, and has more interest in re-education and re-lighting healthy individuals and societies than on the aspect of treatment. Therefore, it applies to various areas such as child guidance centers, parent-child counseling, marital counseling, family counseling, group counseling and treatment, personal counseling for children and adolescents, cultural conflicts and mental health campaigns.
The Journal of Korea Institute of Information, Electronics, and Communication Technology
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v.9
no.4
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pp.428-438
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2016
The aim of this study, in order to reduce the support burden of dementia primary caregiver, within the framework of long-term care insurance system to present its founding model for the development of new services. Previous research as analytical materials and based on the CARE study between 2012 to 2013. Primary caregiver burden of patient are both physical, psychological and economic aspects as well as difficulties in many aspects and had influence on many factors such as age, care burden, economic, health, and social support. It also came high-risk primary caregiver suffer from depression. This primary caregiver to take advantage of the elderly long-term care insurance system implemented at the time of the institutional support necessary for since 2008, presented additional services in this study. Of increasing the small sizes day care center (tentative name) to open an as established in the settlements at a scale of less than nine, within 5 minutes from the residence, limited dementia by expertise in the disease home care services scale model of the current system service It was to improve the quality of existing shares, small group sizes for day care centers and community life apart.
As artificial intelligence (AI) technology advances, the number of cases in which AI becomes an object or subject of moral judgment is increasing, and this trend is expected to accelerate. Although the area of AI in human society expands, relatively few studies have been conducted on how people perceive and respond to AI. Three studies examined the effect of the anthropomorphism of AI on its responsibility. We predicted that anthropomorphism would increase the responsibility perception, and perceived agency and perceived patiency for AI would mediate this effect. Although the manipulation was not effective, multiple analyses confirmed the indirect effect of perceived patiency. In contrast, the effect of perceived agency of AI was somewhat mixed, which makes the hypothesis partially supported by the overall result. This result shows that for the moral status of artificial agents, perceived patiency is relatively more critical than perceived agency. These results support the organic perspective on the moral status that argues the importance of patiency, and show that patiency is more important than agency in the anthropomorphism related study of AI and robots.
The Journal of the Institute of Internet, Broadcasting and Communication
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v.16
no.6
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pp.295-303
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2016
The purposes of this study are to describe the process for the instrument construction and the development of scales on rating college students' adaptability and to analyze the technical qualities of the test. The primary goal of this study is to inform students and institutions what is needed to college student's adjustment process into university and college life. The scales are tested by specialty group and statistical methods, and finally composed of 142 items, which measures 8 scales, the academic integration, the social integration into college, career identity, emotional stability, learning condition's stability, relationship with professors, satisfaction degree of educational service, satisfaction degree of college education. This study analyzed 1,959 students' responses from 4 colleges and universities. This study confirms that the scales which this study developed show high concurrent evidence with the college student's adaptability inventory for Korean university and college students based on various development process, specially rapid great change of college. The result of factor analysis shows the evidence based on internal structures of the scales. The Cronbach's ${\alpha}$ of the subscales is .965, from 742 to .937. The prediction model to determine the possibility of dropout by 7 scales is statistically significant in .05, except learning condition's stability. According to CFA Model, RMSEA= .08~.09. dependence factor variance are explained by this study's CFA model. In conclusion, this study confirms that the scales which this study developed are valid and reliable instrument for Korean university and college students to predict their adaptability to college.
The primary purpose of this study is to design and perform juvenile group program and. to evaluate the effectiveness of that program The group was consisted of 10 fourth-grade elementary school boys who have had such factors that might force themselves to be delinquent, for example, broken family, having delinquent siblings or friends, family violence, and etc. The group had been held once a week and continued for 5 months. The effectiveness of that program is evaluated quantitatively and qualitatively through goal-attainment model. The ultimate goal of this program is reduction of delinquency stimulating factors which are operationalized with overall self-esteem - family related self-esteem, friend related self-esteem, and school related self-esteem. Quantitative evaluation is performed by pre- and post-test with Hare Self-Esteem Scale. Case records, family records, group activities records, and reports from schools are analyzed for the qualitative evaluation. According to paired samples t-test scores, average overall self-esteem scores of experimental group members were escalated from 67.57 to 74.86, and this difference between pre-test and post-test was statistically significant. Difference of experimental group was bigger and more striking than that of control group. These results suggest that designed and performed group program in this study would be effective in preventing juvenile from being delinquent.
This comparative study attempts to explore in what politico-social context 'Education Welfare Invest Priority Zone Plan' has been developed and to find politico-social implications of Korean EWIPZP through critically comparing the cases of UK and France. Korean financial crisis brought up the importance of 'Education Welfare' turning into a concrete system, 'EWIPZP' in 2003. This educational welfare policy has expanded since 2005 up to now by the changed name of 'Education Welfare Priority Plan' in 2008, that is structurally different from the original framework which was to support schools in educationally disadvantaged areas. Even the cases of EAZ in UK and ZEP in France started by progressive political parties and established on the ground of 'equity' philosophy, turned into the excellence-based equality policy confronting with the harsh condition of neo-liberalistic global economy under the conservative regime. So does Korea under the critics against this tendency. Comparing Korean case with the cases in UK and France, the current Education Welfare Priority Policy in Korea should be back to the original principle of educational equity and transform into the bottom-up bilateral cooperation model from the top-down model by the authorized party itself in order not to be manipulated politically.
Transportation project appraisal should be precise in order to increase the social welfare and efficiency, and it has been evaluated by only a single criterion analysis such as benefit/cost analysis. However, this method cannot assess some qualitative items, and cannot get a proper solution for the clash of interests among various groups. Therefore, the multi-criteria analysis, which can control these problems, is needed, and then Saaty has developed one of these methods, AHP(Analytic Hierarchy Process) method. In AHP, the project is evaluated through weighted score of the criteria and the alternatives, which is surveyed by a questionnaire of specialists. It is based on some strict suppositions such as reciprocal comparison, homogeneity, expectation, independence relationship between multi-criteria, but supposing that each criterion has independence relation with others is too difficult in two reasons. First, in real situation, there cannot be perfect independence relationship between standards. Second, individuals, even though they are specialists of that area, do not feel the degree of independence relation as same as others. This paper develops a modified AHP method for solving this dependence relationship between multi-criteria. First of all. in this method, the degree of dependence relationship between multi-criteria that the specialist feels is surveyed and included to the weighted score of multi-criteria This study supposes three methods to implement this idea. The first model products the degree of dependence relationship in the first step for calculating the weighted score, and the others adjust the result of weighted score from the basic AHP method to the dependence relationship. One of the second methods distributes the cross weighted score to each standard by constant ratio, and the other splits them using Fuzzy measure such as Bel and Pl. Finally, in order to validate these methods, this paper applies them to evaluate the alternatives which can control public resentments against Korean rail path in a city area.
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