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First, I consider a response to the challenge from experimental philosophy according to which the common belief that intuitions play a significant epistemic role in philosophical inquiries is false. If most philosophers apply MRE, but do not rely on intuitions, then the challenge from experimental philosophy does not undermine MRE. I argue, however, that philosophers rely on intuitions in moral inquiries.
Second, I consider whether intuitions play an essential epistemic role in MRE. I argue that they do not play an essential role in (some) wide interpretations of the ideal of MRE. Therefore, the challenge does not undermine those versions of MRE. However, I also argue that the challenge does undermine implementations of MRE according to which the assumption that intuitions play a central epistemic role is treated as fixed.
Methods: We hypothesized that extended metaphor could improve both the argumentative and the communicative effects of the message. We designed an empirical study to test our main hypotheses: participants (N = 196, 78% females; Meanage = 27.97 years, SDage = 10.40) were presented with a text about vaccination, described in either literal or metaphorical terms, based on uncertain vs. safe reasoning scenarios.
Results: The results of the study confirmed that defeasible reasoning is relevant for the communicative impact of a text and that an extended metaphor enhances the overall communicative effects of the message, in terms of understandability, persuasion, perceived safety, and feeling of control over the health situation, collective trust in expertise and uptake of experts' advice. However, the results show that this effect is significantly nuanced by the type of defeasible reasoning, especially in the case of participants' trust in expertise and commitment to experts' advice.
Conclusion: Both communicative and defeasible reasoning competences are needed to enhance trust in immunization, with possible different outcomes at an individual and collective level.
First, the Article investigates how ordinary people judge what is reasonable. Reasonableness sits at the core of countless legal standards, yet little work has investigated how ordinary people (i.e., potential jurors) actually make reasonableness judgments. Experiments reveal that judgments of reasonableness are systematically intermediate between judgments of the relevant average and ideal across numerous legal domains. For example, participants’ mean judgment of the legally reasonable number of weeks’ delay before a criminal trial (ten weeks) falls between the judged average (seventeen weeks) and ideal (seven weeks). So too for the reasonable num- ber of days to accept a contract offer, the reasonable rate of attorneys’ fees, the reasonable loan interest rate, and the reasonable annual number of loud events on a football field in a residential neighborhood. Judgment of reasonableness is better predicted by both statistical and prescriptive factors than by either factor alone.
This Article uses this experimental discovery to develop a normative view of reasonableness. It elaborates an account of reasonableness as a hybrid standard, arguing that this view offers the best general theory of reasonableness, one that applies correctly across multiple legal domains. Moreover, this hybrid feature is the historical essence of legal reasonableness: the original use of the “reasonable person” and the “man on the Clapham omnibus” aimed to reflect both statistical and prescriptive considerations. Empirically, reasonableness is a hybrid judgment. And normatively, reasonableness should be applied as a hybrid standard.
*Requires an Oculus Rift or HTC Vive and VR capable computer. To open the files, uncompress the downloaded .zip folder and run the executable (.exe) file.
*Requires an Oculus Rift or HTC Vive and VR capable computer. To open the files, uncompress the downloaded .zip folder and run the executable (.exe) file.
These modules are free to use for classroom or research/x-phi purposes. This set of modules is optimized for the HTC Vive. If you have an Oculus Rift, please see our VR modules optimized for the rift.
*Requires an HTC Vive and VR capable computer. To access the simulation, uncompress the .zip folder and run the executable (.exe) file.
In this paper, we report back on these two events which explored the possibility of doing experimental philosophical aesthetics as public philosophy. We set the stage by considering the significance and current state of efforts in public philosophy, and by introducing the emerging sub-discipline of experimental philosophical aesthetics. Then, we discuss the research and outreach aspects of the two events on the aesthetics of coffee. Finally, we conclude by reflecting on the prospects and potential pitfalls of experimental philosophy as public philosophy.
https://www.academia.edu/31973890/_Meta-Philosophy_Theorizing_about_Philosophy_CMT_CB_and_CM_as_an_e xercise_inXPhi
(Meta-Philosophy) Theorizing about Philosophy (CMT, CB and CMA) as an exercise inXPhi
The processes of theorizing are explored, Weick's Conceptual Metaphor Theory, Conceptual Blending Theory and Conceptual Metaphor tool are described. This Meta-Philosophy investigation of philosophy and philosophizing is an exercise in Experimental Philosophy. The Empirical Generalization or Hypothesis arrived at states that: Philosophy/izing is like or resembles the process/es of Theorizing.
Exploring philosophizing or the doing of philosophy from a meta-philosophy point of view: traditional methods, experimental philosophy (its subject-matter and methods), and the nature of the processes of theorizing.
What’s needed to propel such methods to greater success, it seems, is a language-processing tool capable of taking in large amounts of text and reasoning insightfully about the meanings it contains. The current generation of frontier language models is already adept at sophisticated text analysis. The main bottleneck, now on the verge of being overcome, has been the capability for researchers to feed such systems big-data-sized text corpora (and to receive reliably correct outputs in return).
This paper reports the results from such a corpus study facilitated by Google's Gemini 2.5 Pro, a model whose reasoning capabilities, advances in hallucination control and large context window allow for the accurate analysis of hundreds of pages of text per query. Based on a sample of 5000 arXiv mathematics papers, the experiments yielded a dataset of hundreds of useful annotated examples. Its aim was to gain insight on questions like the following: How often do mathematicians make claims about explanation in the relevant sense? Do mathematicians’ explanatory practices vary in any noticeable way by subject matter? Which philosophical theories of explanation are most consistent with a large body of non-cherry-picked examples? How might philosophers make further use of AI tools to gain insights from large datasets of this kind? As the first PMP study making extensive use of LLM methods, it also seeks to begin a conversation about these methods as research tools in practice-oriented philosophy and to evaluate the strengths and weaknesses of current models for such work.
These questions are interesting, and Mizrahi and Dickinson’s methodological approach is impressive. Nonetheless, we have concerns about the approach. In this short reply, we argue there are reasons to worry about the accuracy of the results that the authors report and reasons to wonder how their results, even if accurate, shed light on questions about philosophy’s specialness. We end with some thoughts about the strengths and weaknesses of the project and some suggestions for next steps for those interested in moving this project (and others of its ilk) forward.