Bibliographic record
Abstract
Philosophers have recently highlighted substantial affinities between causation and grounding, which have inclined some to import the conceptual and formal resources of causal interventionism into the metaphysics of grounding. The prospect ofgrounding interventionismraises two important questions: What exactly are grounding interventions, and why should we think they enable knowledge of grounding? This paper approaches these questions by examining how causal interventionists have addressed (or might address) analogous questions and then comparing the available options for grounding interventionism. The paper argues that grounding interventions must be understood in worldly terms, as adding something to or deleting something from the roster of entities, or making some fact obtain or fail to obtain. It considers three bases for counterfactual assessment: imagination, structural equation models, and background theory. The paper concludes that grounding interventionism requires firmer epistemological foundations, without which the interventionist’s epistemology of grounding is incomplete and ineffectually rationalist.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.066 | 0.061 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.007 | 0.125 |
| Scholarly communication | 0.016 | 0.041 |
| Open science | 0.008 | 0.015 |
| Research integrity | 0.012 | 0.021 |
| Insufficient payload (model declined to judge) | 0.006 | 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".