Intergenerational Mentorship Model for Membership Revitalization and Involvement at the Guelph Seventh-day Adventist Church
Bibliographic record
Abstract
Problem The Guelph Seventh-day Adventist Church faced challenges characterized by low spiritual vitality and a generational divide. These factors jeopardized the spiritual well-being of some members, leading to a decline in church engagement. Method Recognizing the urgency of revitalization, the study explored the impact of a seven-week intergenerational mentorship model on participants’ spiritual health and church involvement. Employing a Participatory Action Research approach led by the pastor-researcher in collaboration with the church board, the study utilized Lifeway’s Spiritual Growth Assessment and Growing Together: Taking Mentoring Beyond Small Talk and Prayer Requests by Melissa Kruger (2020) to guide the development and implementation of the transformative mentorship model. Temporal constraints, exacerbated by the COVID-19 pandemic (Barna Group 2020), necessitated the use of virtual platforms to ensure participation despite geographical limitations. The methodology drew insights from a review of theological and relevant scholarly works, providing a solid foundation for implementing the intergenerational mentorship model. Result The post-assessment findings have unveiled tangible progress in nurturing godly relationships, which has led to a positive shift in participants’ spiritual growth. The intergenerational mentorship initiative appears to effectively address the identified challenges by bridging the generational gap and fostering a renewed commitment to member involvement and revitalized spiritual vitality among participants. Conclusion The successful implementation of the intergenerational mentorship model at the Guelph Seventh-day Adventist Church appeared effective in revitalizing spirituality and enhancing member engagement. This achievement can be attributed to several key factors, including the intentional focus on fostering authentic relationships across generations, the structured framework provided by the mentorship model, and the active participation and collaboration of Church Board members. By emphasizing the importance of mentorship in nurturing spiritual growth and fostering a sense of belonging within the church community, the project created a supportive environment conducive to member involvement and revitalization.
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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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".