Vertigos. Climates of Philosophy

In this essay, I suggest that we are currently witnessing a mutation, which disrupts the mythical imaginary that had confined viruses, climate change, and atmospheric turbulences to an immutable background in the all-too-human narrative of the struggle against nature. I argue that the incapacity of translating this mutation in cultural and social terms, and the repression of this traumatic experience, are the cause of the perturbation that haunts our time. Disorientation pervades philosophy when the entire imaginary to which it had anchored its power to change the world seems to dissolve in the air, when what was silent and distant turns out to be vibrant, more familiar to us than any known proximity. Precisely for this reason, philosophy must rediscover its ability to inhabit times and spaces different from those oriented by the hegemony of capitalist progress, with its correlate of regular catastrophic emergencies and calculated risk. In this essay, I aim to present a perspective in which, instead of coming back straightforwardly ‘down to earth’, philosophy accepts inhabiting the fluctuating disorientation of its own time, itself populated by intermittent and uncertain opportunities of experiencing differently the past and the future—to encounter different relationships with the times that change.

Hobbes and Spinoza on Sovereign Education

Most comparisons of Thomas Hobbes and Baruch Spinoza focus on the difference in understanding of natural right. We argue that Hobbes also places more weight on a rudimentary and exclusive education of the public by the state. We show that the difference is related to deeper disagreements over the prospect of Enlightenment. Hobbes is more sanguine than Spinoza about using the state to make people rational. Spinoza considers misguided an overemphasis on publicly educating everyone out of superstition—public education is important, but modes of superstition may remain and must be offset by institutions and a civil religion. The differences are confirmed by Spinoza’s interest in the philosopher who stands apart and whose flourishing may be protected, but not simply brought about, by rudimentary public education. Spinoza’s openness to a wisdom-loving elite in a democracy also sets up an interesting parallel with Thomas Jefferson’s own commitment to the natural aristocracy needed to sustain republicanism. In demonstrating the 17th century philosopher’s skepticism toward using the state exclusively to promote rationality, even as he recognizes the importance of a sovereign pedagogical role and the protection of philosophy, we move to suggest that Spinoza is relevant to contemporary debates about public education and may reinvigorate moral and political discourse in a liberal democracy.

Object Coreference in German: The Reflexive sich as a Problem for Derivational Approaches to Binding

Despite Grewendorf’s well-known German binding data with the double-object verb zeigen ‘show’, where one object reflexively binds the other and which suggests that the direct object (DO) is generated higher than the indirect object (IO), this paper argues for the canonical surface order of IO > DO as base order. We highlight the exceptional status of Grewendorf’s examples, build on scope facts as well as a quantitative acceptability rating study, and exploit the fact that zeigen can also be used as inherently reflexive with idiomatic meaning. Appealing to the base configuration of the pieces of idiomatic expressions and considering different Spell-Out possibilities of coreferential objects in German, we show that the case, number, and gender underspecification of the anaphor sich poses a previously unnoticed problem for derivational approaches to binding.

The AI Carbon Footprint and Responsibilities of AI Scientists

This article examines ethical implications of the growing AI carbon footprint, focusing on the fair distribution of prospective responsibilities among groups of involved actors. First, major groups of involved actors are identified, including AI scientists, AI industry, and AI infrastructure providers, from datacenters to electrical energy suppliers. Second, responsibilities of AI scientists concerning climate warming mitigation actions are disentangled from responsibilities of other involved actors. Third, to implement these responsibilities nudging interventions are suggested, leveraging on AI competitive games which would prize research combining better system accuracy with greater computational and energy efficiency. Finally, in addition to the AI carbon footprint, it is argued that another ethical issue with a genuinely global dimension is now emerging in the AI ethics agenda. This issue concerns the threats that AI-powered cyberweapons pose to the digital command, control, and communication infrastructure of nuclear weapons systems.

Agreeing and Moving across Traces: On Why Lower Copies May Be Transparent or Opaque

Within Minimalism, traces are often taken to be transparent for agreement and movement across them, which raises the question of how this could be properly accounted for within the copy theory of movement. This paper examines wh-traces in multiple wh-questions and argues that traces (lower copies) may or may not induce intervention effects depending on whether or not they are fully specified.

Naturalistic Moral Realism and Evolutionary Biology

Perhaps the most familiar understanding of “naturalism” derives from Quine, understanding it as a continuity of empirical theories of the world as described through the scientific method. So, it might be surprising that one of the most important naturalistic moral realists, Philippa Foot, rejects standard evolutionary biology in her justly lauded Natural Goodness. One of her main reasons for this is the true claim that humans can flourish (eudaimonia) without reproducing, which she claims cannot be squared with evolutionary theory and biology more generally. The present argument concludes that Foot was wrong to reject evolutionary theory as the empirical foundation of naturalized eudaimonist moral realism. This is based on contemporary discussion of biological functions and evolutionary fitness, from which a definition of “eudaimonia” is constructed. This gives eudaimonist moral realism an empirically respectable foundation.

How Universities Can Best Respond to the Climate Crisis and Other Global Problems

The world is in a state of crisis [...]

Induction, Experimentation and Causation in the Social Sciences

Inductive thinking is a universal human habit; we generalise from our experiences the best we can. The induction problem is to identify which observed regularities provide reasonable justification for inductive conclusions. In the natural sciences, we can often use strict laws in making successful inferences about unobserved states of affairs. In the social sciences, by contrast, we have no strict laws, only regularities which most often are conditioned on ceteris paribus clauses. This makes it much more difficult to make reliable inferences in the social sciences. In particular, we want knowledge about general causal relations in order to be able to determine what to do in order to achieve a certain state of affairs. Knowledge about causal relations that are also valid in the future requires experiments or so called ‘natural experiments’. Only knowledge derived from such experiences enable us to draw reasonably reliable inferences about how to act in order to achieve our goals.

Correction: Tantlevskij et al. Network Analysis of the Interaction between Different Religious and Philosophical Movements in Early Judaism. Philosophies 2021, 6, 2

The authors would like to make the following corrections to the published paper [...]

Scientific Variables

Despite their centrality to the scientific enterprise, both the nature of scientific variables and their relation to inductive inference remain obscure. I suggest that scientific variables should be viewed as equivalence classes of sets of physical states mapped to representations (often real numbers) in a structure preserving fashion, and argue that most scientific variables introduced to expand the degrees of freedom in terms of which we describe the world can be seen as products of an algorithmic inductive inference first identified by William W. Rozeboom. This inference algorithm depends upon a notion of natural kind previously left unexplicated. By appealing to dynamical kinds—equivalence classes of causal system characterized by the interventions which commute with their time evolution—to fill this gap, we attain a complete algorithm. I demonstrate the efficacy of this algorithm in a series of experiments involving the percolation of water through granular soils that result in the induction of three novel variables. Finally, I argue that variables obtained through this sort of inductive inference are guaranteed to satisfy a variety of norms that in turn suit them for use in further scientific inferences.