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Record W2935993747 · doi:10.1163/23528230-08401072

Social Domains of Knowledge: Technology, Art, and Religion

2019· article· en· W2935993747 on OpenAlexaff
Lambert Zuidervaart

Bibliographic record

VenuePhilosophia Reformata · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicReligious Education and Schools
Canadian institutionsInstitute for Christian Studies
Fundersnot available
KeywordsEpistemologySocial knowledgeMeaning (existential)Descriptive knowledgeSociologyLegitimacyPsychologyPhilosophyPolitical science

Abstract

fetched live from OpenAlex

This essay asks whether and how a Reformational epistemology should distinguish different types of knowledge within a unified conception of knowledge as a whole. I begin with the thesis that knowledge, in its deepest meaning, is not a thing to possess but a complex relationship to inhabit. It encompasses human knowers, practices of knowing, the knowable, known results, guiding principles, and procedures of confirmation. Within this complex relationship, humans achieve insight of various sorts. After briefly distinguishing artistic from scientific knowledge, I examine two other social domains of knowledge, namely, technology and religion. Taking issue with Hendrik Hart, I then argue for the religious legitimacy of propositional beliefs, provided they support genuinely religious knowledge, which is post-propositional. Knowledge, I conclude, takes on distinct contours within different social domains; some of them, like art and technology, provide pre-propositional insight, and others, like religion, offer insight that is post-propositional.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.996
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.049
Scholarly communication0.0090.010
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.332
Teacher spread0.311 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2019
Admission routes1
Has abstractyes

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