Forthcoming, Canadian Journal of Philosophy. Please refer to the final version.
Bibliographic record
Abstract
ABSTRACT: What is the relationship between being coloured and looking coloured? According to Alva Noë, to be coloured is to manifest a pattern of apparent colours as the perceptual conditions vary. I argue that Noë’s ‘phenomenal objectivism ’ faces similar objections to attempts by traditional dispositionalist theories of colour to account for being coloured in terms of looking coloured. Instead, I suggest that to be coloured is to look coloured in a ‘non-perspectival’ sense, where non-perspectival looks transcend specific perceptual conditions. Intuitively, there is an intimate connection between being coloured and looking coloured. As Strawson memorably remarked, it is natural to assume that ‘colours are visibilia or they are nothing ’ (1979, 109). But what exactly is the nature of this relationship? A traditionally popular view of the relationship between being coloured and looking coloured starts from the common place that the character of our perceptual experience changes as the conditions in which an object is perceived vary. For instance, our experience changes when we view an object under
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.174 | 0.040 |
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".