The Influence of Befriending Theology on Youth Pastoral Care in the Digital Era
Bibliographic record
Abstract
This research explores the influence of befriending theology on the practice of youth pastoral care in the context of the digital era, where rapid technological change has significantly transformed how young people communicate, form relationships, and engage with faith. Befriending theology rooted in the incarnational model of Christ’s relational ministry emphasizes authentic presence, empathy, and companionship, offering a vital framework for addressing the spiritual and emotional needs of youth today. Through qualitative analysis, including literature review, field observations, and interviews with youth pastors and church leaders, this study examines how befriending theology is being applied in real pastoral settings and its impact on youth engagement and spiritual formation. The findings reveal that a relational approach to ministry fosters deeper trust, connection, and relevance, particularly when integrated with digital platforms such as social media, messaging apps, and virtual communities. However, the research also identifies key challenges, including emotional fatigue among pastoral workers, institutional resistance, the digital divide, and ethical concerns regarding boundaries. The study concludes that befriending theology presents a powerful and necessary reimagining of youth ministry, one that calls for intentional theological education, structural support within churches, and adaptive pastoral strategies to remain effective and faithful in accompanying youth in the digital age.
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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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.012 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".