Bibliographic record
Abstract
Barbara Vetter’s project in Potentiality is to articulate and defend a dispositionalist theory of modality based on potentialities. My focus is on the metaphysics of her positive theory. I consider one of Vetter’s main targets, David Lewis’s theory of possible worlds, and use it to distinguish what I call “de re first” approaches from “de dicto first” approaches. This way of framing the disagreement helps shed light on what their respective accounts can intuitively accomplish. In particular, I introduce objections to Vetter’s requirement that the grounds of de dicto modal truths must be routed through time. I also suggest an alternative de dicto first approach that Vetter does not consider, one which does not come saddled with Lewis’s ontology or with Vetter’s issues with de dicto modal truths. Rather, on incompatibilism, modality is grounded on second-order relations between (non-potentialist) properties, e.g. incompatibility or entailment. Defenders of de dicto first approaches, including incompatibilism, can better account for such de dicto modal truths, thus undermining some of the intuitive appeal of Vetter’s theory.
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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 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".