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Record W2903976011 · doi:10.4013/fsu.2018.193.13

Davidsonian semantic theory and cognitive science of religion

2018· article· en· W2903976011 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFilosofia Unisinos · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicStudy and Philosophy of Religion
Canadian institutionsMount Royal University
Fundersnot available
KeywordsPhilosophyHumanitiesCognitionEpistemologyPsychology

Abstract

fetched live from OpenAlex

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.).

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.161
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.021
GPT teacher head0.256
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it