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Record W2892338531 · doi:10.31581/jbs-1.2.3(1988)

Scholarship

2018· article· en· W2892338531 on OpenAlexvenueno aff
William Hatcher

Bibliographic record

VenueThe Journal of Bahá’í Studies · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicAncient Near East History
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipFaithNormativeEpistemologySociologyPhilosophyLawPolitical science

Abstract

fetched live from OpenAlex

This paper defines scholarship as disciplined intellectual activity undertaken to help determine the truth of some matter or else to apply in a practical way some previously determined truth. More specifically, Bahá’í scholarship seeks to understand and/or apply truths contained in the writings of the Bahá’í Faith; it may also involve historical/critical studies of the Bahá’í Faith as a social phenomenon. With regard to the first type of Bahá’í scholarship, we examine certain passages in the Bahá’í writings which comment on these writings themselves and which describe the kinds of truths they contain. In particular, it is seen that the Bahá’í writings contain important propositional truths and not just moral injunctions (so-called normative propositions). The relationship between scholarship and other human enterprises is also discussed. The Bahá’í conception of scholarship is seen to be unusually broad in scope and to provide thereby the basis for a much greater harmony between scholarship and the various other activities carried on within the Bahá’í community.

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)0.004
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.170
Threshold uncertainty score0.568

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0060.005
Scholarly communication0.0120.008
Open science0.0020.011
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.1700.071

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 head0.163
GPT teacher head0.309
Teacher spread0.145 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2018
Admission routes1
Has abstractyes

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