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Record W7114219360

Cross-Cultural Heritage : Critical Approaches to Missionary Legacies

2025· book· en· W7114219360 on OpenAlexaboutno aff

Bibliographic record

VenueBiblioBoard Library Catalog (Open Research Library) · 2025
Typebook
Languageen
FieldArts and Humanities
TopicChristian Theology and Mission
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousChristianityReciprocalCultural heritageTransculturation
DOInot available

Abstract

fetched live from OpenAlex

<p><strong>The diverging forms of material and immaterial missionary heritages and legacies.</strong></p><p>For centuries, Christian missions have intervened in local religious communities, practices and ideas across the globe, generating encounters between Indigenous and Western cultures that have ranged from hostile confrontation to intercultural osmosis. While primarily intended as a strategy for evangelisation, forms of inculturation also led to the emergence of new hybrid cultural and religious expressions. These creative processes were rarely unidirectional; instead, they involved reciprocal cultural transactions in which local communities exerted significant agency.</p><p><em>Cross-Cultural Heritage</em> deepens our understanding of the intricate relationships between missions and missionised communities. These are reflected in the material and immaterial legacies of missionary histories in various contexts in South America, Africa, Asia, the Pacific and Europe. Often, they remain deeply rooted in landscapes, memories and practices today.</p><p>Contributing authors: Paola Granado (Université Lumière Lyon 2), Leah Abayao (University of the Philippines Baguio), Kwami Edem Afoutou (Université Laval), Karen Jacobs (University of East Anglia), Naziru Yahaya Shu’Aibu (College of Advance and Remedial Studies, Kano), Leon Bouwmeester (KU Leuven), Jennifer Bond (University College London), Rinald D’Souza (KU Leuven), Markus A. Scholz (Philosophisch-Theologische Hochschule Sankt Georgen Frankfurt am Main), Idesbald Goddeeris (KU Leuven).</p><p>This publication is GPRC-labeled (Guaranteed Peer-Reviewed Content).</p>

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.372
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0070.002
Science and technology studies0.0030.005
Scholarly communication0.0130.018
Open science0.0060.011
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0750.003

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 head0.267
GPT teacher head0.375
Teacher spread0.108 · 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; both teacher heads agree on what is shown here.

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
Published2025
Admission routes1
Has abstractyes

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