Bibliographic record
Abstract
In a series of recent papers, Cynthia MacDonald and Graham MacDonald offer a resolution to the twin problems of mental causation and mental causal relevance. They argue that the problem of mental causation is soluble via token monism— mental events are causally efficacious physical events. At the same time, the problem of mental causal relevance is solved by combining this causally efficacious mental property instance with the systematic co-variation between distinct mental properties of the cause and the action-theoretic properties of the effect in question. In other words, their model is an instance of the familiar strategy of yoking token monism with property dualism. MacDonald and MacDonald, however, endorse this nonreductive monism from within a property exemplification account of events. In this paper we argue that nonreductive monism, when yoked with the property exemplification account, faces significant difficulties in resolving the twin problems of mental causation and mental causal relevance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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 teacher head, 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".