Social entrepreneurship

Review of: Choi, David Y and Gray, Edmund (2010), Values-Centered Entrepreneurs and Their Companies, Routledge, ISBN 978-041599761

The truth about freedom of choi

El presente es un análisis de los principales rasgos y tendencias que caracterizan hoy a la triada Sociedad-Estado-Mercado. Hace énfasis en la hegemonía del mercado y ofrece un recuento analítico de los hechos que la acompañan como son: la transnacionalización de la cadena de valor, el ascenso de la sociedad del conocimiento, el protagonismo oligopólico de la empresa transnacional, la nueva división social transnacional del trabajo, el proceso de reconfiguración cultural, la exclusión social y la subordinación del Estado, entre otros. El planteamiento que subyace a estas consideraciones es lo que acá se denomina “la verdad sobre la libertad de elegir”, con lo cual se quiere hacer referencia al hecho de que las relaciones Sociedad-Estado se encuentran hoy mediatizadas por el mercado, arrojando, como consecuencia, una involución heterónoma de la Sociedad y del mismo Estado liberal.The actual is an academic analysis of the main features on the day has the triad Society, State and Market. It emphasizes the market hegemony and offers an analytical recount of the facts that go with, as the value chain internationalization, the knowledge society rise, the translational enterprise powerful mark up, the new international social labour division, the cultural reshape process, the social exclusion, the State subordination, among others. The underlying outlining these issues is what the author calls “The truth under the free to choose”, as a reference to the fact that the relationships between the Society and the State are hindered by the Market with a heteronomous society involution as consequence

Powers opposed and intrinsic finks

Philosophers disagree over whether dispositions can be intrinsically finked or masked. Choi suggests that there are no clear, relevant differences between cases where intrinsic finks would be absurd and those where they seem plausible, and as a result rejects them wholesale. Here, I highlight two features of dispositional properties which, when considered together, provide a plausible explanation for when dispositions can be subject to intrinsic finks and when not

Does Health Insurance Status Affect Choice of Specialist?

Background: A demand-driven healthcare system has increasingly focused the importance of patient healthcare provider choice. Important reasons for promoting patient choice have been to reduce waiting times and to encourage competition between providers. This study aimed to determine the effect of health insurance status on the choice of specialist. Subjects and Method: This was a case control study conducted at Sangkrah community health center, Surakarta, in January 2017. A sample of 164 mothers was selected by fixed disease sampling. The dependent variable was mother’s choice to visit a pediatrician. The independent variables were membership of the national health insurance, perceived benefit, perceived barrier, perceived severity, and family income. The data were collected by questionnaire and analyzed by a multiple linear regression. Results: Mother’s choice to visit a pediatrician was positively affected by perceived benefit (b= 0.89; 95% CI= 1.24 to 4.8; p= 0.009) and perceived seriousness (b= 0.92; 95% CI= 1.18 to 5.32; p= 0.016), but was negatively affected by perceived barrier (b= -0.77; 95% CI= 0.23 to 0.91; p= 0.026) and low family income (b= -0.66; 95% CI= 0.9 to 3.6; p= 0.067). The effect of health insurance member¬ship on mother’s choice to visit a pediatrician was statistically non significant. Conclusion: The effect of health insurance membership on mother’s choice to visit a pediatrician is statistically non significant. Mother’s choice to visit a pediatrician is positively affected by perceived benefit and perceived seriousness, but is negatively affected by perceived barrier and low family income. Keywords: mother’s choice, pediatrician, national health insuranc

Connotation Frames: A Data-Driven Investigation

Through a particular choice of a predicate (e.g., "x violated y"), a writer can subtly connote a range of implied sentiments and presupposed facts about the entities x and y: (1) writer's perspective: projecting x as an "antagonist"and y as a "victim", (2) entities' perspective: y probably dislikes x, (3) effect: something bad happened to y, (4) value: y is something valuable, and (5) mental state: y is distressed by the event. We introduce connotation frames as a representation formalism to organize these rich dimensions of connotation using typed relations. First, we investigate the feasibility of obtaining connotative labels through crowdsourcing experiments. We then present models for predicting the connotation frames of verb predicates based on their distributional word representations and the interplay between different types of connotative relations. Empirical results confirm that connotation frames can be induced from various data sources that reflect how people use language and give rise to the connotative meanings. We conclude with analytical results that show the potential use of connotation frames for analyzing subtle biases in online news media.Comment: 11 pages, published in Proceedings of ACL 201

A connection-level call admission control using genetic algorithm for MultiClass multimedia services in wireless networks

Call admission control in a wireless cell in a personal communication system (PCS) can be modeled as an M/M/C/C queuing system with m classes of users. Semi-Markov Decision Process (SMDP) can be used to optimize channel utilization with upper bounds on handoff blocking probabilities as Quality of Service constraints. However, this method is too time-consuming and therefore it fails when state space and action space are large. In this paper, we apply a genetic algorithm approach to address the situation when the SMDP approach fails. We code call admission control decisions as binary strings, where a value of “1” in the position i (i=1,…m) of a decision string stands for the decision of accepting a call in class-i; a value of “0” in the position i of the decision string stands for the decision of rejecting a call in class-i. The coded binary strings are feed into the genetic algorithm, and the resulting binary strings are founded to be near optimal call admission control decisions. Simulation results from the genetic algorithm are compared with the optimal solutions obtained from linear programming for the SMDP approach. The results reveal that the genetic algorithm approximates the optimal approach very well with less complexity