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Record W2051088589 · doi:10.1177/000842980603500303

Taking its interdisciplinary heritage seriously: The future of Religious Studies in Canada

2006· article· en· W2051088589 on OpenAlexaffvenueabout
Harold Coward

Bibliographic record

VenueStudies in Religion/Sciences Religieuses · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsDisciplineSociologyPluralism (philosophy)Field (mathematics)Religious pluralismSocial scienceInterdisciplinarityComparative religionEngineering ethicsEnvironmental ethicsEpistemologyPolitical scienceAnthropologyLawEngineering

Abstract

fetched live from OpenAlex

This article will argue that Religious Studies is not a narrowly defined discipline with a single methodology but is an area or field of study that is interdisciplinary in nature. From the beginning, Religious Studies as a scholarly field has engaged a variety of disciplinary approaches including: literary analysis of scriptural texts, history of religions, comparative religion, philosophy of religions, psychology of religions, sociology of religions and anthropology of religions. This has been its strength in the past, providing ways to reach out to other disciplines in the Humanities and Social Sciences. Taking its interdisciplinary heritage seriously today gives Religious Studies a strong basis from which to move forward into the future. It enables Religious Studies departments to build bridges to cognate departments resulting in joint appointments and enriched programs for students. It widens Religious Studies' base of support and regard within the academic community. It fosters research projects with interdisciplinary team approaches to contemporary problems in areas such as biomedical ethics, environmental ethics, religion and peace-building, pluralism and public policy—global issues that transcend the ability of any one discipline to provide answers. This approach ensures that the knowledge developed by Religious Studies "has a place at the table" alongside the other disciplines and is engaged in the solving of major problems and the formation of policy recommendations.

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)0.010
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.857
Threshold uncertainty score0.995

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.007
Science and technology studies0.0370.018
Scholarly communication0.0150.006
Open science0.0040.015
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0110.000

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 head0.376
Teacher spread0.328 · 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 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

Citations2
Published2006
Admission routes3
Has abstractyes

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