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Record W2047539177 · doi:10.7825/2164-6279.1404

A Retrospective of Hindu-Christian Studies: Establishment of the Journal and Formation of the Society

2008· article· en· W2047539177 on OpenAlexaff
Harold Coward

Bibliographic record

VenueJournal of Hindu-Christian studies · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsHinduismOpenness to experienceHonestyContext (archaeology)HypocrisyReligious studiesSociologyPhilosophyLawPolitical scienceHistoryPsychologySocial psychology

Abstract

fetched live from OpenAlex

A retrospective look at "How We Do Hindu-Christian Studies" can be had by going through the issues of our journal from 1988 to the present. In the first issue of the journal the approach was described as follows: "Materials selected for publication will be balanced between historical research and contemporary practice, and, where possible, should employ analytical and theoretical analysis set within the context of our shared human experience." The issue contained two articles illustrating this approach: an overview of Hindu-Christian dialogue in India in the 1970s and 1980s by Anand Amaladass, and an assessment of the various approaches to dialogue in the modern West by Klaus Klostermaier. While Amaladass finds the focus in India in the 1980s to be on church organizations and their theology of dialogue (with some Christians linking dialogue with proselytisation), Klostermaier sees dialogue is the West occurring at the academic level in Religious Studies courses where he feels there is a greater openness and honesty "where formerly dissimulation and hypocrisy were the rule." In each tradition, says Klostermaier, our study requires scholars who are willing "to fight hard against prejudice and pretense, against petrified tradition and vested religious interest" if the Hindu-Christian dialogue is to be open and honest.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.157
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.045
GPT teacher head0.318
Teacher spread0.273 · 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

Citations1
Published2008
Admission routes1
Has abstractyes

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