What was that like? Intuitions and the epistemology of consciousness
Bibliographic record
Abstract
I argue that physicalists have been too conciliatory in granting that certain classic thought experiments about consciousness like Mary the colour scientist, colour spectrum inversion, and zombies provide strong prima facie support for epiphenomenal anti-physicalism. While these thought experiments may suggest that we are intuitive epiphenomenal anti-physicalists when taken individually, when they are appropriately combined, they suggest that epiphenomenal anti-physicalism leads to a version of phenomenal scepticism according to which (i) we cannot know how our states of phenomenal consciousness compare and contrast and (ii) we cannot know how our first-order beliefs about our states of consciousness compare and contrast. Insofar as comparative phenomenal scepticism is a deeply counter-intuitive view, our intuitions about consciousness are far more equivocal than they are widely thought to be. There simply may be no one metaphysical view that should qualify as their obvious champion.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.047 |
| Scholarly communication | 0.008 | 0.015 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".