Combining Philosophers

All the ideas for Carl Ginet, Michael Stanford and Reiss,J/Spreger,J

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13 ideas

2. Reason / A. Nature of Reason / 5. Objectivity
One view says objectivity is making a successful claim which captures the facts [Reiss/Sprenger]
     Full Idea: One conception of objectivity is that the facts are 'out there', and it is the task of scientists to discover, analyze and sytematize them. 'Objective' is a success word: if a claim is objective, it successfully captures some feature of the world.
     From: Reiss,J/Spreger,J (Scientific Objectivity [2014], 2)
     A reaction: This seems to describe truth, rather than objectivity. You can establish accurate facts by subjective means. You can be fairly objective but miss the facts. Objectivity is a mode of thought, not a link to reality.
An absolute scientific picture of reality must not involve sense experience, which is perspectival [Reiss/Sprenger]
     Full Idea: Sense experience is necessarily perspectival, so to the extent to which scientific theories are to track the absolute conception [of reality], they must describe a world different from sense experience.
     From: Reiss,J/Spreger,J (Scientific Objectivity [2014], 2.3)
     A reaction: This is a beautifully simple and interesting point. Even when you are looking at a tree, to grasp its full reality you probably need to close your eyes (which is bad news for artists).
Topic and application involve values, but can evidence and theory choice avoid them? [Reiss/Sprenger]
     Full Idea: There may be values involved in the choice of a research problem, the gathering of evidence, the acceptance of a theory, and the application of results. ...The first and fourth do involve values, but what of the second and third?
     From: Reiss,J/Spreger,J (Scientific Objectivity [2014], 3.1)
     A reaction: [compressed] My own view is that the danger of hidden distorting values has to be recognised, but it is then possible, by honest self-criticism, to reduce them to near zero. Sociological enquiry is different, of course.
The Value-Free Ideal in science avoids contextual values, but embraces epistemic values [Reiss/Sprenger]
     Full Idea: According to the Value-Free Ideal, scientific objectivity is characterised by absence of contextual values and by exclusive commitment to epistemic values in scientific reasoning.
     From: Reiss,J/Spreger,J (Scientific Objectivity [2014], 3.1)
     A reaction: This seems appealing, because it concedes that we cannot be value-free, without suggesting that we are unavoidably swamped by values. The obvious question is whether the two types of value can be sharply distinguished.
Value-free science needs impartial evaluation, theories asserting facts, and right motivation [Reiss/Sprenger]
     Full Idea: Three components of value-free science are Impartiality (appraising theories only by epistemic scientific standards), Neutrality (the theories make no value statements), and Autonomy (the theory is motivated only by science).
     From: Reiss,J/Spreger,J (Scientific Objectivity [2014], 3.3)
     A reaction: [They are summarising Hugh Lacey, 1999, 2002] I'm not sure why the third criterion matters, if the first two are met. If a tobacco company commissions research on cigarettes, that doesn't necessarily make the findings false or prejudiced.
Thermometers depend on the substance used, and none of them are perfect [Reiss/Sprenger]
     Full Idea: Thermometers assume the length of the fluid or gas is a function of temperature, and different substances yield different results. It was decided that different thermometers using the same substance should match, and air was the best, but not perfect.
     From: Reiss,J/Spreger,J (Scientific Objectivity [2014], 4.1)
     A reaction: [summarising Hasok Chang's research] This is a salutary warning that instruments do not necessarily solve the problem of objectivity, though thermometers do seem to be impersonal, and offer relative accuracy (i.e. ranking temperatures). Cf breathalysers.
13. Knowledge Criteria / A. Justification Problems / 1. Justification / a. Justification issues
Must all justification be inferential? [Ginet]
     Full Idea: The infinitist view of justification holds that every justification must be inferential: no other kind of justification is possible.
     From: Carl Ginet (Infinitism not solution to regress problem [2005], p.141)
     A reaction: This is the key question in discussing whether justification is foundational. I'm not sure whether 'inference' is the best word when something is evidence for something else. I am inclined to think that only propositions can be reasons.
Inference cannot originate justification, it can only transfer it from premises to conclusion [Ginet]
     Full Idea: Inference cannot originate justification, it can only transfer it from premises to conclusion. And so it cannot be that, if there actually occurs justification, it is all inferential.
     From: Carl Ginet (Infinitism not solution to regress problem [2005], p.148)
     A reaction: The idea that justification must have an 'origin' seems to beg the question. I take Klein's inifinitism to be a version of coherence, where the accumulation of good reasons adds up to justification. It is not purely inferential.
14. Science / A. Basis of Science / 3. Experiment
The 'experimenter's regress' says success needs reliability, which is only tested by success [Reiss/Sprenger]
     Full Idea: The 'experimenter's regress' says that to know whether a result is correct, one needs to know whether the apparatus is reliable. But one doesn't know whether the apparatus is reliable unless one knows that it produces correct results ...and so on.
     From: Reiss,J/Spreger,J (Scientific Objectivity [2014], 2.3)
     A reaction: [H. Collins (1985), a sociologist] I take this to be a case of the triumphant discovery of a vicious circle which destroys all knowledge turning out to be a benign circle. We build up a coherent relationship between reliable results and good apparatus.
14. Science / C. Induction / 6. Bayes's Theorem
The Bayesian approach is explicitly subjective about probabilities [Reiss/Sprenger]
     Full Idea: The Bayesian approach is outspokenly subjective: probability is used for quantifying a scientist's subjective degree of belief in a particular hypothesis. ...It just provides sound rules for learning from experience.
     From: Reiss,J/Spreger,J (Scientific Objectivity [2014], 4.2)
14. Science / D. Explanation / 1. Explanation / b. Aims of explanation
Audience-relative explanation, or metaphysical explanation based on information? [Stanford]
     Full Idea: Rather than an 'interest-relative' notion of explanation (Putnam), it can be informational content which makes an explanation, which is an 'audience-invariant' contraint, which is not pragmatic, but mainly epistemological and also partly metaphysical.
     From: Michael Stanford (Explanation: the state of play [1991], p.172)
     A reaction: [compressed summary of Ruben 1990] Examples given are that Rome burning explains Nero fiddling, even if no one ever says so, and learning that George III had porphyria explains his madness.
Explanation is for curiosity, control, understanding, to make meaningful, or to give authority [Stanford]
     Full Idea: There are a number of reasons why we explain: out of sheer curiosity, to increase our control of a situation, to help understanding by simplifying or making familiar, to confer meaning or significance, and to give scientific authority to some statement.
     From: Michael Stanford (Explanation: the state of play [1991], p.172)
14. Science / D. Explanation / 2. Types of Explanation / j. Explanations by reduction
We can explain by showing constitution, as well as showing causes [Stanford]
     Full Idea: The powerful engine of my car can be explained by an examination of each of its parts, but it is not caused by them. They do not cause the engine; they constitute it.
     From: Michael Stanford (Explanation: the state of play [1991], p.174)
     A reaction: [example from Ruben 1990:221] This could be challenged, since there is clearly a causal connection between the constitution and the whole. We distinguish engine parts which contribute to the power from those which do not.