Davidsonian semantic theory and cognitive science of religion
Bibliographic record
Abstract
This article investigates the extent to which the cognitive science of religion (CSR) and Donald Davidson's semantic holism (DSH) harmonize. We first characterize CSR, philosophical semantics (and more specifically DSH). We then note a prima facie tension between CSR and DSH's view of First-Person Authority (that we know what is meant when we speak in a way that we do not when others speak). If CSR is correct that the causes of religious belief are located in cognitive processes in the mind/brain, then religious insiders might have no idea what they are talking about: only the scholar of CSR would have a chance of knowing what they 'really' mean. The article argues that the resolution to this problem is to take seriously DSH's rejection of semantic bifurcation, specifically rejecting the idea that religious and non-religious language can be sharply distinguished. We conclude by supporting the following claims: (i) common cognitive neural/psychological processes are explanatorily relevant in proposed meaning-theories for any discourse, and (ii) those processes need semantic supplementation with reference to external and naturalistic factors (biological, cultural, environmental etc.).
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.021 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".