Bibliographic record
Abstract
One of the long-standing questions in the field of philosophy of mind is called the mind-body problem.The problem is this: given that minds and mental properties appear to be vastly different thanphysical objects and physical properties, how can the mind and body relate to and interact with eachother? Materialism is the currently preferred response to philosophy’s classic mind-body problem.Most contemporary philosophers of mind accept a materialist perspective with respect to the natureof reality. They believe that there is one reality and it is physical. One of the primary problemswith materialism has to do with the issue of physical reduction, that is, if everything is physical,how does the mental reduce to the physical? I argue that the materialistic model is problematicbecause it cannot sufficiently explain the reduction problem. Specifically, the materialist model doesnot account for our subjective experience, including qualia. I also consider the question of why thematerialist stance is so entrenched, given all the problems with the reduction problem that havebeen raised. I argue that the paradigmatic influence of materialism explains the puzzling conclusionsdrawn by philosophers. In closing, I argue that the failure of materialist perspectives to explainreduction is our invitation to take a fresh look at the alternatives. In support of my position, I will consider the reduction problem in two sections. In the first section I will present some contemporary arguments put forth by Jaegwon Kim, Ned Block, Thomas Nagel, John Searle, David Chalmers, Frank Jackson and Roger Penrose. These contemporary arguments address four different reduction problems. Although the arguments presented by Kim, Block, Searle, Nagel, Chalmers, Jackson and Penrose are compelling, I will argue that their arguments have not succeeded in altering the mainstream materialist viewpoint. In the second section of this paper, I will address three of my concerns regarding the reduction issue, i.e., 1) concerns regarding unresolved issues with respect to the reduction problem, 2) concerns that materialism cannot account for common characteristics of our mental experience 3) concerns regarding the validity of the materialist stance in general. In closing, I will argue that the failure of materialist perspectives to conclusively explain mind and consciousness is our invitation to take a fresh look at the alternatives. mind-body problem; materialism; physical reduction; qualia; point-of-view
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.006 | 0.061 |
| Scholarly communication | 0.009 | 0.019 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.006 | 0.012 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".