2,116 research outputs found

    A New Societal Self-Defense Theory of Punishment—The Rights-Protection Theory

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    In this paper, I propose a new self-defense theory of punishment, the rights-protection theory. By appealing to the interest theory of right, I show that what we call “the right of self-defense” is actually composed of the right to protect our basic rights. The right of self-defense is not a single, self-standing right but a group of derivative rights justified by their contribution to the protection of the core, basic rights. Thus, these rights of self-defense are both justified and constrained by the basic rights they are supposed to protect. I then explain how this theory responds to a common objection. Opponents argue that, to exercise the right of self-defense, some threat must be present. However, in the context of punishment, the threat has already taken effect or is already gone. Thus, the right of self-defense becomes irrelevant when we punish an offender. I show that this objection is based on an implausibly narrow conception of self-defense. A reasonable conception would allow us to exercise our right of self-defense when there is a present definite threat, a future definite threat, or a potential threat. Thus, we may still exercise our right of self-defense in the context of punishment

    The Instrumental Value Arguments for National Self-Determination

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    David Miller argues that national identity is indispensable for the successful functioning of a liberal democracy. National identity makes important contributions to liberal democratic institutions, including creating incentives for the fulfilment of civic duties, facilitating deliberative democracy, and consolidating representative democracy. Thus, a shared identity is indispensable for liberal democracy and grounds a good claim for self-determination. Because Miller’s arguments appeal to the instrumental values of a national culture, I call his argument ‘instrumental value’ arguments. In this paper, I examine the instrumental value arguments and show that they fail to justify a group’s right to self-determination

    Kinematic and Spatial Substructure in NGC 2264

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    We present an expanded kinematic study of the young cluster NGC 2264 based upon optical radial velocities measured using multi-fiber echelle spectroscopy at the 6.5 meter MMT and Magellan telescopes. We report radial velocities for 695 stars, of which approximately 407 stars are confirmed or very likely members. Our results more than double the number of members with radial velocities from F{\H u}r{\'e}sz et al., resulting in a much better defined kinematic relationship between the stellar population and the associated molecular gas. In particular, we find that there is a significant subset of stars that are systematically blueshifted with respect to the molecular (13^{13}CO) gas. The detection of Lithium absorption and/or infrared excesses in this blue-shifted population suggests that at least some of these stars are cluster members; we suggest some speculative scenarios to explain their kinematics. Our results also more clearly define the redshifted population of stars in the northern end of the cluster; we suggest that the stellar and gas kinematics of this region are the result of a bubble driven by the wind from O7 star S Mon. Our results emphasize the complexity of the spatial and kinematic structure of NGC 2264, important for eventually building up a comprehensive picture of cluster formation.Comment: Accepted to AJ. 38 pages, 5 Figures 3 Table

    Taking Deterrence Seriously: The Wide-Scope Deterrence Theory of Punishment

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    A deterrence theory of punishment holds that the institution of criminal punishment is morally justified because it serves to deter crime. Because the fear of external sanction is an important incentive in crime deterrence, the deterrence theory is often associated with the idea of severe, disproportionate punishment. An objection to this theory holds that hope of escape renders even the severest punishment inapt and irrelevant. This article revisits the concept of deterrence and defend a more plausible deterrence theory of punishment—the wide-scope deterrence theory. The wide-scope theory holds that we must make the best use of all the deterrence tools available, including both external and internal sanctions. Drawing on insights from the early Confucian tradition, the article develops a deep deterrence theory, which holds that the most important deterrence tool involves internal, not external, sanction. It describes how internal sanctions deter potential offenses and why relevant policies need not conflict with liberalism’s respect for neutrality

    Dynamically Iterative MapReduce

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    [[abstract]]MapReduce is a distributed and parallel computing model for data-intensive tasks with features of optimized scheduling, flexibility, high availability, and high manageability. MapReduce can work on various platforms; however, MapReduce is not suitable for iterative programs because the performance may be lowered by frequent disk I/O operations. In order to improve system performance and resource utilization, we propose a novel MapReduce framework named Dynamically Iterative MapReduce (DIMR) to reduce numbers of disk I/O operations and the consumption of network bandwidth by means of using dynamic task allocation and memory management mechanism. We show that DIMR is promising with detail discussions in this paper.[[notice]]補正完畢[[incitationindex]]SCI[[incitationindex]]EI[[booktype]]紙本[[booktype]]電子

    Consequentialist Theories of Punishment

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    In this chapter, I consider contemporary consequentialist theories of punishment. Consequentialist theories of punishment look to the consequences of punishment to justify the institution of punishment. Two types of theories fall into this category—teleology and aggregationism. I argue that teleology is implausible as it is based on a problematic assumption about the fundamental value of criminal punishment, and that aggregationism provides a more reasonable alternative. Aggregationism holds that punishment is morally justified because it is an institution that helps society to aggregate important moral values. Several theories fall into this category, including general deterrence theories, specific deterrence theories, and preventionism. I critically evaluate these theories and argue that only one specific deterrence theory, namely, my rights-protection theory, provides the most reasonable consequentialist account of punishment

    Automated Detection of Skin Tone Diversity in Visual Marketing Communication

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    Companies invest heavily in diversity, equity, and inclusion efforts. Specifically, the representation of people in visual marketing communication is often considered a manifestation of diversity policies. We propose a standard framework built on machine learning to create novel measures quantifying skin tone dynamics. We first use the Swin Transformer to extract skin pixels from images. Next, the K-means algorithm is deployed to classify skin tone components from the extracted skin pixels, accounting for multiple people with distinct skin colors in an image. Using images posted by 34 fashion brands on Instagram and Twitter, we demonstrate a useful application of the tool. The results highlight that, in the past two years, the fashion industry has slightly increased its diversity, represented by the increased variety of skin tones of people included in social media posts. Our method allows for automated detection of objective measures of skin-tone diversity in visual marketing communications

    Ant colony optimization for capacitated vehicle routing problem.

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    Problem statement: The Capacitated Vehicle Routing Problem (CVRP) is a well-known combinatorial optimization problem which is concerned with the distribution of goods between the depot and customers. It is of economic importance to businesses as approximately 10-20% of the final cost of the goods is contributed by the transportation process. Approach: This problem was tackled using an Ant Colony Optimization (ACO) combined with heuristic approaches that act as the route improvement strategies. The proposed ACO utilized a pheromone evaporation procedure of standard ant algorithm in order to introduce an evaporation rate that depends on the solutions found by the artificial ants. Results: Computational experiments were conducted on benchmark data set and the results obtained from the proposed algorithms shown that the application of combination of two different heuristics in the ACO had the capability to improve the ants' solutions better than ACO embedded with only one heuristic. Conclusion: ACO with swap and 3-opt heuristic has the capability to tackle the CVRP with satisfactory solution quality and run time. It is a viable alternative for solving the CVRP
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