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Record W4408383391 · doi:10.1515/9780228023906

Building Mennonite Belonging

2025· book· en· W4408383391 on OpenAlexaboutno aff
Hyung Jin Kim Sun

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2025
Typebook
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsnot available
Fundersnot available
KeywordsHistorySociology

Abstract

fetched live from OpenAlex

Hyung Jin Kim Sun is a Mennonite. He was born in Paraguay and raised by a Korean immigrant family, before attending an evangelical seminary in the United States. There he joined a Mennonite church, though he often returned from gatherings feeling uneasy. Most Mennonites he met were white, with European heritage, and their faith community was often their ethnic community as well. As a Korean-Paraguayan, Kim Sun felt that he would never be Mennonite enough. This crisis of religious identity prompted him to work towards an intercultural Mennonite church where all people could experience full belonging. Building Mennonite Belongin g explores the interplay between ethnicity, culture, race, and faith in Canada and other multicultural societies. Using three Mennonite theologies – messianic community, missional church, and shalom church – Kim Sun navigates the intersection of identity and belief to broaden the vision of Mennonite peoplehood. These theologies show that Mennonites aspire to engage with the world, dialogue with those from diverse backgrounds, seek peace, and strive for reconciliation. The materials to build an intercultural church can be found within existing Mennonite teachings and traditions. Though centred on Mennonites, Kim Sun’s insights resonate with any faith community grappling with ethnocultural and racial diversity. Envisioning new possibilities for faith communities in the twenty-first century, Building Mennonite Belonging advocates for a church that reflects and responds to the diverse society it inhabits. Kim Sun’s work is not only a call to action, but a guide to fostering a more inclusive church and society.

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)0.003
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.013
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0130.006
Scholarly communication0.0060.007
Open science0.0010.020
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.002

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 head0.010
GPT teacher head0.190
Teacher spread0.180 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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