Practical Application of Seventh-day Adventist Doctrine Through Narrative Preaching at Parkview Adventist Academy
Bibliographic record
Abstract
Problem. Seventh-day Adventist teenagers are familiar with church doctrines but many do not understand how these doctrines relate to a relationship with Jesus Christ and the student’s daily lives. This study was to determine the effectiveness of a narrative sermon series to help academy-aged students understand the centrality of Jesus Christ to Seventh-day Adventist doctrines and how these doctrines relate to daily living. Method. This study included two researcher developed surveys and group interviews. The surveys gathered qualitative and quantitative data, which measured understanding of, and attitude towards, Seventh-day Adventist doctrines. Forty-four students from Parkview Adventist Academy in Lacombe, Alberta, Canada, of both genders, aged 15-18, took part in the study. Results. Both student understanding of, and attitude towards Seventh-day Adventist doctrines improved over the four month period between surveys. Student response to the series was mixed; though more positive than negative. There was a correlation between attendance at the series and improved survey scores. Conclusions. The narrative sermons were able to teach doctrine. However, growth in doctrine knowledge and spiritual faith are best supported by a broad range of preaching, teaching, and discipling strategies. The strength of narrative preaching lies in the long term impact on the listener and narrative’s ability to address difficult questions.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".