A Strategic Marketing Plan For Community Ministries At The Toronto West Seventh-day Adventist Church
Bibliographic record
Abstract
Problem The Toronto West Seventh-day Adventist Church is a large church that has a membership of 1,306, located in a very diverse urban community of Etobicoke North in Toronto, with variety in ethnicity, language, culture and religion. In the church’s neighborhood, there is a growing immigrant population that is currently in flux due to the constant demographic transition. This certainly poses a number of challenges for this church because there are so many varying ethnic and cultural groups that make ministering to this community very difficult. The church has tried to reach its neighbors by hosting community services events such as a free mid-week community supper and an annual thanksgiving dinner; however, many of the community services events are not well attended by people from the community. Method In this project, marketing research was used to develop and implement a strategic marketing plan for the Community Ministries Department at the Toronto West Seventh-day Adventist Church. The process included acquiring information from primary and secondary sources, and the results of the data analysis were used to develop and implement a sound and effective marketing strategy. The effectiveness of the marketing strategy was also analyzed for rate of success. Results The development and implementation of a strategic marketing plan for the Community Services Department led to an increase in attendance of over 300% to a sponsored program of the department. It also led to the identification of recommendations to help the church become more effective in its mission to reach the community. Conclusions Strategic marketing can be used to help churches become more effective in the accomplishment of their mission. It can be used to market programs and services that address the welfare needs of the community.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".