Avoid legal problems and run a productive workplace with an up-to-date employee handbook! Anyone who hires and supervises employees needs clear policies when it comes to crucial issues like pay and overtime, medical leave, and social media. Create Your Own Employee Handbook provides everything business owners, managers, and HR professionals need to create (or update) a legal and plain-English employee handbook. You'll learn all the top tips and practical suggestions for creating a polished and thorough employee handbook that addresses your company's policies on: wages, hours, and tip pools remote work at-will employment discrimination and harassment complaints and investigations health and safety alcohol and drugs, including medical/legal marijuana workplace privacy, and email and social media. This new edition will address how to draft an employee handbook in an environment where employees might be permanently remote or working a hybrid remote schedule. With Downloadable forms: All policies and forms--along with modifications and alternative language you can tailor to your workplace--are available for download details inside.
The author has attempted to present a book that provides a non-technical introduction into the area of non-parametric density and regression function estimation. The application of these methods is discussed in terms of the S computing environment. Smoothing in high dimensions faces the problem of data sparseness. A principal feature of smoothing, the averaging of data points in a prescribed neighborhood, is not really practicable in dimensions greater than three if we have just one hundred data points. Additive models provide a way out of this dilemma; but, for their interactiveness and recursiveness, they require highly effective algorithms. For this purpose, the method of WARPing (Weighted Averaging using Rounded Points) is described in great detail.
We present a penalized matrix decomposition, a new framework for computing a low-rank approximation for a matrix. This low-rank approximation is a generalization of the singular value decomposition. While the singular value decomposition usually yields singular vectors that have no elements that are exactly equal to zero, our new decomposition results in sparse singular vectors. This decomposition has a number of applications. When it is applied to a data matrix, it can yield interpretable results. One can apply it to a covariance matrix in order to obtain a new method for sparse principal components, and one can apply it to a crossproducts matrix in order to obtain a new method for sparse canonical correlation analysis. Moreover, when applied to a dissimilarity matrix, this leads to a method for sparse hierarchical clustering, which allows for the clustering of a set of observations using an adaptively chosen subset of the features. Finally, if this decomposition is applied to a between-class covariance matrix then it yields penalized linear discriminant analysis, an extension of Fisher's linear discriminant analysis to the high-dimensional setting.
The book shows that civil disobedience is generally more defensible than private conscientious objection. Part I explores the morality of conviction and conscience. Each of these concepts informs a distinct argument for civil disobedience. The conviction argument begins with the communicative principle of conscientiousness (CPC). According to the CPC, having a conscientious moral conviction means not just acting consistently with our beliefs and judging ourselves and others by a common moral standard. It also means not seeking to evade the consequences of our beliefs and being willing to communicate them to others. The conviction argument shows that, as a constrained, communicative practice, civil disobedience has a better claim than private objection does to the protections that liberal societies give to conscientious dissent. This view reverses the standard liberal picture which sees private 'conscientious' objection as a modest act of personal belief and civil disobedience as a strategic, undemocratic act whose costs are only sometimes worth bearing. The conscience argument is narrower and shows that genuinely morally responsive civil disobedience honours the best of our moral responsibilities and is protected by a duty-based moral right of conscience. Part II translates the conviction argument and conscience argument into two legal defences. The first is a demands-of-conviction defence. The second is a necessity defence. Both of these defences apply more readily to civil disobedience than to private disobedience. Part II also examines lawful punishment, showing that, even when punishment is justifiable, civil disobedients have a moral right not to be punished. Oxford Legal Philosophy publishes the best new work in philosophically-oriented legal theory. It commissions and solicits monographs in all branches of the subject, including works on philosophical issues in all areas of public and private law, and in the national, transnational, and international realms; studies of the nature of law, legal institutions, and legal reasoning; treatments of problems in political morality as they bear on law; and explorations in the nature and development of legal philosophy itself. The series represents diverse traditions of thought but always with an emphasis on rigour and originality. It sets the standard in contemporary jurisprudence.
This is an open access title available under the terms of a CC BY-NC-ND 4.0 International licence. It is free to read at Oxford Scholarship Online and offered as a free PDF download from OUP and selected open access locations. This edited collection brings together world-leading authors writing about a wide range of issues related to responsibility and healthcare, and from a variety of perspectives. Alongside a comprehensive introduction by the editors outlining the scope of the relevant debates, the volume contains 14 chapters, split into four sections. This volume pushes forward a number of important debates on responsibility and its role in contemporary healthcare. The first and second groups of chapters focus, respectively, on (a) the potential justification and (b) nature of 'responsibility-sensitive' policies in healthcare provision; in other words, policies that would hold some patients responsible for their ill health via differences in treatment. These sections include empirically-informed work on public opinion, chapters linking responsibility in healthcare with ongoing debates around criminal responsibility, and new conceptual and theoretical work on the details of responsibility-sensitive policies. The third set of chapters turns in a more detailed way to the issues of whether, and how, we can be responsible for our health, presenting novel challenges and questions for those who would advocate responsibility-sensitive policies in healthcare. Finally, questions of responsibility in medicine do not end with those receiving treatment. The fourth group of chapters broadens the volume's focus to think about responsibility of individuals other than patients, including medical professionals and policymakers, including specific consideration of the role of responsibility during pandemics.