Beyond Cordiality: Interpreting Practices of Mutual Hospitality toward Building Interculturally Competent Community at Thornhill Presbyterian Church
Bibliographic record
Abstract
In light of the changing demographic landscape of Canada over the past several years this dissertation seeks to answer the question: How will the mainline church respond to growing cultural diversity in our communities? Beyond Cordiality invites readers to listen to the experiences of one multi-ethnic congregation in the Greater Toronto Area (GTA) that is learning how to be a community that celebrates diversity. The study examines what this thesis has termed “practices of mutual hospitality” within the congregation that have contributed to a feeling of belonging and multi-ethnic growth. These practices of mutual hospitality are viewed through the lens of established intercultural competence models to gain insight into intercultural competence levels and measurement possibilities. The Deardorff Process Model of Intercultural Competence, the Bennett (Developmental) Model of Intercultural Sensitivity and the Rathje Coherence-Cohesion (Co-Orientational) Model of Intercultural Competence provided valuable insight into understanding intercultural competence in congregational settings. Conclusions reveal that there is a way forward for congregations who wish to become multi-ethnic communities of faith. \nThis study proposes that there are important practices of mutual hospitality and practical actions congregations can take to build intercultural competence within their communities. These practices help continue to foster the feeling of belonging within communities that are culturally diverse. Practical applications include inspired leadership, educational development, renewed worship and holistic visioning. It is possible for churches to reflect the communities in which they exist by engaging in intentional actions to reach out across cultural divides and engage with the “other.”
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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 teacher head, 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".