Bibliographic record
Abstract
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.013 | 0.006 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.020 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".