How accurate is Kevin Carson’s characterization of “freed” markets? Carson, a left-libertarian “free market anti-capitalist,” portrays free markets as so radically different from actually-existing markets that they are almost unrecognizable. In The Homebrew Industrial Revolution: A Low Overhead Manifesto, he provides an alternative history of industrialization that argues that large-scale industrial organization and production are largely creatures of state intervention and that truly free markets would be characterized mainly by small-scale production for local markets. This paper evaluates Carson’s narrative in (...) order to determine whether his vision of the freed market is credible. I find that Carson fails to provide sufficient evidence to demonstrate that, but for government intervention, national markets would only exist for a few goods. Furthermore, many of the features he believes freed markets would possess are based on fallacious views of competition, knowledge, capital, and entrepreneurship. (shrink)

Cases of severe and enduring Anorexia Nervosa (SEAN) rightly raise a great deal of concern around assessing capacity to refuse treatment (including artificial feeding). Commentators worry that the Court of Protection in England & Wales strays perilously close to a presumption of incapacity in such cases (Cave and Tan 2017, 16), with some especially bold (one might even say reckless) observers suggesting that the ordinary presumption in favor of capacity ought to be reversed in such cases (Ip 2019). -/- Those (...) of us who worry that such trends and proposals amount to (or at least pose a serious threat of) wrongful discrimination on the grounds of disability nevertheless feel the pull of judging many SEAN service users to be incapacitous with respect to decisions regarding (perhaps amongst other things) treatments involving feeding, artificial or otherwise. But it is difficult to get to grips with exactly what their incapacity consists in. Many such service users seem able to understand, retain, use and weigh information, and express a decision (i.e. they seem, prima facie, to satisfy the ‘MacArthur’ criteria). At the very least, they do not, generally. (shrink)

Currently, anomalous lived temporality is not included in the main diagnostic criteria or standard symptom checklists. In this article, we present the Transdiagnostic Assessment of Temporal Experience, a structured interview that can be used by researchers and clinicians without a comprehensive phenomenological background to explore abnormal time experiences in persons with abnormal mental conditions regardless of their diagnosis. When extensive data gathered by this scale are available, it will be possible to delineate well-defined anomalous lived temporality profiles for each psychopathological (...) disorder. This instrument may also prove useful for clinicians by providing a more refined assessment of relevant psychopathological symptoms and an in-depth understanding of the patient’s abnormal behaviour as related to specific types of time experience. In the first part of the article, we provide a brief overview of the phenomenological concept of temporality, including pre-phenomenal and phenomenal time, synthesis, conation and synchronization, and of abnormal time experiences in persons affected by psychopathological conditions. In the following part, we describe the basic structure of the interview that comprises seven categories corresponding to the abnormal features of lived temporality: anomalies of synchrony, of time structure, of implicit time flow, of explicit time flow, and anomalous experiences of the past, the present and the future. The paper also includes a section on administration and scoring of the TATE scale, the complete interview and a Likert table for quantifying the frequency, intensity and interference with daily life of the phenomena explored. (shrink)

Broadening access to both computational and educational resources is crit- ical to diffusing machine learning (ML) innovation. However, today, most ML resources and experts are siloed in a few countries and organizations. In this article, we describe our pedagogical approach to increasing access to applied ML through a massive open online course (MOOC) on Tiny Machine Learning (TinyML). We suggest that TinyML, applied ML on resource-constrained embedded devices, is an attractive means to widen access because TinyML leverages low-cost and globally (...) accessible hardware and encourages the development of complete, self-contained applications, from data collection to deployment. To this end, a collaboration between academia and industry produced a four part MOOC that provides application-oriented instruction on how to develop solutions using TinyML. The series is openly available on the edX MOOC platform, has no prerequisites beyond basic programming, and is designed for global learners from a variety of backgrounds. It introduces real-world applications, ML algorithms, data-set engineering, and the ethi- cal considerations of these technologies through hands-on programming and deployment of TinyML applications in both the cloud and on their own microcontrollers. To facili- tate continued learning, community building, and collaboration beyond the courses, we launched a standalone website, a forum, a chat, and an optional course-project com- petition. We also open-sourced the course materials, hoping they will inspire the next generation of ML practitioners and educators and further broaden access to cutting-edge ML technologies. (shrink)