JUSTIFYING THE VALUE OF OPEN SOURCE

Over the last decade, free and open source software (FOSS) has gradually become recognized by different actors in society outside the FOSS communities and increasingly incorporated in corporate software development contexts, challenging proprietary software practices. Most literature describing this transition is focusing on the value of using FOSS as an efficient alternative to established models for software development. This focus on efficiency and economic value of FOSS is not sufficient if we want to gain a deeper understanding of the many aspects of FOSS values in the intersection of corporations and movements In order to articulate these different values, we propose a theoretical framework of justificatory logics including a civic, domestic, inspirational, popular, market and industrial logic. First we make an analysis of the history of FOSS, identifying how these logics have developed over time. We argue that this development forms the backbone of an emerging configuration of these logics, manifesting a new spirit of FOSS in terms of the adoption of free and open source software, methods and practices in corporations today. This new spirit is then analyzed based on interviews with programmers employed by firms engaging in FOSS. By understanding how these justificatory logics come to play and interplay, corporations that want to adopt FOSS can gain strategic advantages beyond efficiency

HOW IS THIS PAPER PHILOSOPHY?

This paper answers a call made by Anita Allen to genuinely assess whether the field of philosophy has the capacity to sustain the work of diverse peoples. By identifying a pervasive culture of justification within professional philosophy, I gesture to the ways professional philosophy is not an attractive working environment for many diverse practitioners. As a result of the downsides of the culture of justification that pervades professional philosophy, I advocate that the discipline of professional philosophy be cast according to a culture of praxis. Finally, I provide a comparative exercise using Graham Priests definition of philosophy and Audre Lordes observations of the limitations of philosophical theorizing to show how these two disparate accounts can be understood as philosophical engagement with a shift to a culture of praxis perspective

Metacognition as Evidence for Evidentialism

Metacognition is the monitoring and controlling of cognitive processes. I examine the role of metacognition in ‘ordinary retrieval cases’, cases in which it is intuitive that via recollection the subject has a justified belief. Drawing on psychological research on metacognition, I argue that evidentialism has a unique, accurate prediction in each ordinary retrieval case: the subject has evidence for the proposition she justifiedly believes. But, I argue, process reliabilism has no unique, accurate predictions in these cases. I conclude that ordinary retrieval cases better support evidentialism than process reliabilism. This conclusion challenges several common assumptions. One is that non-evidentialism alone allows for a naturalized epistemology, i.e., an epistemology that is fully in accordance with scientific research and methodology. Another is that process reliabilism fares much better than evidentialism in the epistemology of memory

The concept of finite limit of a function at one point as explained by students of non-compulsory secondary education

We review various educational studies of the mathematical concept of limit of a function at a point that indicate how colloquial uses of the terms “to approach,” “to tend toward,” “to reach,” “to exceed” and “limit” influence students’ conceptions of these terms. We then present the results of an exploratory study of this question performed with Spanish students in non-compulsory secondary education and analyze the responses they provide to justify the truth or falsity of statements related to the different characteristics of the concept of finite limit of a function at a point when they use these terms. Finally, we organize their answers according to the kinds of arguments made. Using the response profiles detected, we discuss the influence of everyday usage on the students’ arguments

Understanding EBLIP at an organizational level: an initial maturity model

Objective - Existing research around evidence based practice in the LIS (library and information science) professional context over the past two decades has captured the experience of individual practitioners, rather than the organization as a whole. Current models of evidence based library and information practice (EBLIP) relate to, and apply predominantly to, individuals or specific scenarios. Yet despite a growing demand from institutional and library leaders for evidence to demonstrate why investments in libraries should continue, little is known about how an organization can enhance its maturity in evidence based practice. This paper addresses this gap by seeking to understand what an evidence based university library looks like and answering the questions: how does a university library leader know the library’s service and practice is evidence based? How can a university library measure and progress its maturity in evidence based practice? Methods - Sixteen semi-structured interviews were conducted with library professionals employed at Australian and New Zealand university libraries. Transcripts were analyzed using thematic analysis techniques. The interviews, combined with a literature review and environmental scan of evidence based practices in university libraries, informed the development of a draft capability maturity model as a framework for developing evidence based practice in university libraries. Results - The model identifies and describes characteristics at five different levels of evidence based practice maturity from least mature (Ad hoc/Sporadic) to most mature (Transforming). Three dimensions of experience help to define the characteristics at each level of maturity and provide a framework to understand how a university library might develop its organizational capacity in evidence based library and information practice. Conclusion - Library leaders and practitioners will benefit from the model as they seek to identify and build upon their evidence based practice maturity, enabling more robust decision-making, a deeper understanding of their clients and demonstration of value and impact to their stakeholders

Skeptical Theism

Skeptical theism is a family of responses to the evidential problem of evil. What unifies this family is two general claims. First, that even if God were to exist, we shouldn’t expect to see God’s reasons for permitting the suffering we observe. Second, the previous claim entails the failure of a variety of arguments from evil against the existence of God. In this essay, we identify three particular articulations of skeptical theism—three different ways of “filling in” those two claims—and describes their role in responding to evidential arguments of evil due to William Rowe and Paul Draper. But skeptical theism has been subject to a variety of criticisms, several of which raise interesting issues and puzzles not just in philosophy of religion but other areas of philosophy as well. Consequently, we discuss some of these criticisms, partly with an eye to bringing out the connections between skeptical theism and current topics in mainstream philosophy. Finally, we conclude by situating skeptical theism within our own distinctive methodology for evaluating world views, what we call “worldview theory versioning.

Knowledge-based Transfer Learning Explanation

Machine learning explanation can significantly boost machine learning's application in decision making, but the usability of current methods is limited in human-centric explanation, especially for transfer learning, an important machine learning branch that aims at utilizing knowledge from one learning domain (i.e., a pair of dataset and prediction task) to enhance prediction model training in another learning domain. In this paper, we propose an ontology-based approach for human-centric explanation of transfer learning. Three kinds of knowledge-based explanatory evidence, with different granularities, including general factors, particular narrators and core contexts are first proposed and then inferred with both local ontologies and external knowledge bases. The evaluation with US flight data and DBpedia has presented their confidence and availability in explaining the transferability of feature representation in flight departure delay forecasting.Comment: Accepted by International Conference on Principles of Knowledge Representation and Reasoning, 201

High resolution fire hazard index based on satellite images

In December 2015, after 3 year of activity, the FP7 project PREFER (Space-based Information Support for Prevention and REcovery of Forest Fires Emergency in the MediteRranean Area) came to an end. The project was designed to respond to the need to improve the use of satellite images in applications related to the emergency services, in particular, to forest fires. The project aimed at developing, validating and demonstrating information products based on optical and SAR (Synthetic Aperture Radar) imagery for supporting the prevention of forest fires and the recovery/damage assessment of burnt area. The present paper presents an improved version of one of the products developed under the PREFER project, which is the Daily Fire Hazard Index (DFHI)