Bridging Faith and Restoration: A Phenomenological Study Exploring Evangelical Pastors’ Experiences Ministering to Congregants with Trauma in the Greater Toronto Area
Bibliographic record
Abstract
The purpose of this transcendental phenomenological study was to understand how evangelical pastors in the Greater Toronto Area describe their experiences with discussing trauma with congregants and their experiences with trauma-informed care in the church. The theory guiding this research is Transformative Learning Theory (TLT). As discussed by Mezirow (1991), TLT explains transformation occurs by increasing knowledge by learning about topics where outdated or misinformed concepts previously existed. The main research question is, how do evangelical pastors in the Greater Toronto Area describe their experiences ministering to congregants who have experienced trauma? Further sub-questions ask, how do evangelical pastors in the Greater Toronto Area describe the challenges faced when ministering to congregants who have experienced trauma? How do evangelical pastors in the Greater Toronto Area describe the strategies implemented when ministering to congregants who have experienced trauma? How do evangelical pastors in the Greater Toronto Area describe their experiences with trauma-informed care? The study’s qualitative research design was transcendental phenomenology by Clark Moustakas (1994). Data was collected by in-depth, semi-structure interviews with 9 participants selected by a purposive, criterion sampling method. Data analysis was managed through bracketing, phenomenological reduction, imagination variation, horizontalization, coding, and the synthesis of meaning and essence of the data. Four themes emerged: “Theme 1: Experiences with Trauma”, “Theme 2: “Understanding Trauma”, “Theme 3: Challenges”, and “Theme 4: Strategies.” The implications of the study apply to evangelical pastors, the church, researchers on trauma-informed care, Mezirow’s (1991) TLT, and mental health professionals.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.019 | 0.018 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| 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 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".