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Record W3024221467 · doi:10.1163/15700682-12341477

A Report on the Special Executive Committee Meeting of the International Association for the History of Religions in Delphi

2020· article· en· W3024221467 on OpenAlexaff
Don Wiebe

Bibliographic record

VenueMethod & Theory in the Study of Religion · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicStudy and Philosophy of Religion
Canadian institutionsTrinity CollegeUniversity of Toronto
Fundersnot available
KeywordsAssociation (psychology)Delphi methodPoliticsExecutive committeeExecutive directorDelphiSociologyHistory of religionsInternational relationsPolitical scienceReligious studiesLawManagementEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract This essay is a report on the IAHR’s Extended Executive Committee meeting in Delphi (13-15 September 2019), and a critical account of its decision, formulated prior to that meeting, to reject the IAHR’s long-standing remit to support a scientific study of religion and religions. It is also a warning that insisting the IAHR be open to considering moral, social, political, spiritual or other cultural ideals will dismantle the only academic association committed to a scientific study of religions, transforming the IAHR into a weak, international version of the American Academy of Religion.

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)0.111
metaresearch head score (Gemma)0.135
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.111
Threshold uncertainty score0.588

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1110.135
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0060.002
Scholarly communication0.0050.003
Open science0.0020.006
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0500.010

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 head0.069
GPT teacher head0.297
Teacher spread0.228 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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