Epistemicism and response-dependence

Synthese ◽  
2021 ◽  
Author(s):  
Ivan Hu
Keyword(s):  
2020 ◽  
Vol 5 (2) ◽  
pp. 245-249
Author(s):  
Esa Díaz-León

AbstractThis comment on Ásta’s Categories we live by: the construction of sex, gender, race, and other social categories discusses Ásta’s arguments that the conferralist view on social properties does better than a response-dependence view concerning gender. Her key argument is that a response-dependence does not allow for mistakes. This comment tries to show that a response-dependence view can accommodate misgendering and passing.


2017 ◽  
Vol 27 (12) ◽  
pp. 3709-3725 ◽  
Author(s):  
David Andrich

The advantages of using person location estimates from the Rasch model over raw scores for the measurement of change using a common test include the linearization of scores and the automatic handling of statistical properties of repeated measurements. However, the application of the model requires that the responses to the items are statistically independent in the sense that the specific responses to the items on the first time of testing do not affect the responses at a second time. This requirement implies that the responses to the items at both times of assessment are governed only by the invariant location parameters of the items at the two times of testing and the location parameters of each person each time. A specific form of dependence that is pertinent when the same items are used is when the observed response to an item at the second time of testing is affected by the response to the same item at the first time, a form of dependence which has been referred to as response dependence. This paper presents the logic of applying the Rasch model to quantify, control and remove the effect of response dependence in the measurement of change when the same items are used on two occasions. The logic is illustrated with four sets of simulation studies with dichotomous items and with a small example of real data. It is shown that the presence of response dependence can reduce the evidence of change, a reduction which may impact interpretations at the individual, research, and policy levels.


2014 ◽  
Vol 55 (3) ◽  
pp. 1858
Author(s):  
Anna I. Dastiridou ◽  
Evangelia E. Tsironi ◽  
Miltiadis K. Tsilimbaris ◽  
Harilaos Ginis ◽  
Nikos Karyotakis ◽  
...  

2020 ◽  
Vol 30 (4) ◽  
pp. 513-532
Author(s):  
Michael Wheeler

AbstractThe Turing Test is routinely understood as a behaviourist test for machine intelligence. Diane Proudfoot (Rethinking Turing’s Test, Journal of Philosophy, 2013) has argued for an alternative interpretation. According to Proudfoot, Turing’s claim that intelligence is what he calls ‘an emotional concept’ indicates that he conceived of intelligence in response-dependence terms. As she puts it: ‘Turing’s criterion for “thinking” is…: x is intelligent (or thinks) if in the actual world, in an unrestricted computer-imitates-human game, x appears intelligent to an average interrogator’. The role of the famous test is thus to provide the conditions in which to examine the average interrogator’s responses. I shall argue that Proudfoot’s analysis falls short. The philosophical literature contains two main models of response-dependence, what I shall call the transparency model and the reference-fixing model. Proudfoot resists the thought that Turing might have endorsed one of these models to the exclusion of the other. But the details of her own analysis indicate that she is, in fact, committed to the claim that Turing’s account of intelligence is grounded in a transparency model, rather than a reference-fixing one. By contrast, I shall argue that while Turing did indeed conceive of intelligence in response-dependence terms, his account is grounded in a reference-fixing model, rather than a transparency one. This is fortunate (for Turing), because, as an account of intelligence, the transparency model is arguably problematic in a way that the reference-fixing model isn’t.


2009 ◽  
Vol 36 (11) ◽  
pp. 5044-5051 ◽  
Author(s):  
Konrad Buchauer ◽  
Elmar Hillbrand ◽  
Alexander de Vries

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