Bibliographic record
Abstract
A driving concern of Russell’s rejection of Idealism was his conviction that reality is free of contradictions. However, echoing the neo-Hegelians that Russell is usually taken successfully to have refuted, Graham Priest has argued that the analysis of motion provides a motivation to adopt dialetheism (the thesis that some contradictions may be true). Furthermore, Priest argues that the Russellian account of motion as given in The Principles of Mathematics fails accurately to capture the phenomenon. In this paper we argue that Priest’s objections to Russell are neither new nor decisive. We show that even if one shares Priest’s concerns about the Russellian model there are alternatives inspired by Russell’s own contemporaries that do not entail dialetheism. We conclude that not only are Priest’s objections to Russell unconvincing, but even one who shares Priest’s intuitions has no reason to resurrect the Hegelian account of motion: [M]otion itself is contradiction’s immediate existence. Something moves, not because at one moment it is here and at another there, but because at one and the same moment it is here and not here, because in this “here” it at once is and is not. The ancient dialecticians must be granted the contradictions that they pointed out in motion; but it does not follow that therefore there is no motion, but on the contrary, that motion is existent contradiction itself.(Hegel, Science of Logic)
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.024 |
| Scholarly communication | 0.005 | 0.014 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| 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".