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Record W2019557578 · doi:10.3138/tjt.25.1.41

From Apologetics to Indology: A Case Study in the Scholarship of Roberto de Nobili, SJ

2009· article· en· W2019557578 on OpenAlexvenueno aff
Francis X. Clooney

Bibliographic record

VenueToronto Journal of Theology · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsnot available
Fundersnot available
KeywordsHinduismIgnoranceReligious studiesPhilosophyScholarshipTheologyApologeticsSociologyEpistemologyLaw

Abstract

fetched live from OpenAlex

Abstract: Roberto de Nobili (1579–1656), Jesuit missionary to India, was a pioneering scholar in Christianity's encounter with Hinduism, distinguished by personal adaptation, study of Indian religious traditions, and the composition of treatises in Tamil as well as Latin. But this incipient Indology, motivated by apologetic purposes, not only objectified Hinduism but also conferred expert status on the outside observer. This essay compares two treatises: Inquiry into the Meaning of “God” (ca. 1612) and Dispelling Ignorance (ca. 1640). They are similar in shape (an understanding of “God” elaborated in accord with various perfections), purpose (demonstrating the untenable nature of Hindu conceptions of deity), and in the deployment of locally adduced examples showing the implausibility of Hindu beliefs. Dispelling Ignorance more thoroughly objectifies India, reserving superior knowledge to the observer. It marks the path from missionary apologetics to the religiously neutral but still hegemonic Indology that followed. Today, Christian theology requires expert scholarship that is also empathetic, less prone to objectifications of other religions that disregard the self-understanding of their believers.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.313
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.048
GPT teacher head0.304
Teacher spread0.256 · 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 teacher head, not a consensus.

Study designQualitative
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

Citations2
Published2009
Admission routes1
Has abstractyes

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