Pulled from the Shoreline in Search of Spacious Spirituality: Journeys of Spiritual Distress, Resilience, and Posttraumatic Growth for Women of Evangelical Christian Backgrounds in a Canadian Context
Bibliographic record
Abstract
Religion and spirituality (R/S) provide possibilities for healing, resilience, meaning making, and posttraumatic growth (PTG) in the aftermath of trauma. Still, R/S may also be the precursors and/or sources of harm, resulting in experiences of spiritual distress (SD). While extensive research has examined the positive mental health impacts of R/S, its potential harms are under-investigated. Addressing this gap, this article draws on findings from an interpretative phenomenological analysis (IPA) study with four women of evangelical Christian (EC) backgrounds who have experienced SD. The women’s stories revealed SD as an isolating and profoundly tension-filled experience characterized by painful relational loss, fraught belonging, existential uncertainty, and acute spiritual pain. Several women used the term “trauma” to describe their experiences. This study evidences the tender and isolating complexity of SD. For the women, spirituality served as both a cause and a perpetuator of trauma, and as a vehicle for transcendent meaning making in response to wounding. Ultimately, spirituality is tangled in the women’s distress while also playing a role in their posttraumatic growth. Implications include a call for increased awareness and advocacy regarding SD, as well as a trauma-informed, spiritually sensitive, curious posture from practitioners supporting clients with SD to foster posttraumatic growth.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.027 | 0.012 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".