Faith Matters: Towards a Public Missiology in the Midst of the Ecological Crisis
Bibliographic record
Abstract
Abstract: The article examines public missiology in the light of the ecological crisis by situating public missiology in the larger context of public theology. It responds to the challenge of finding ways for Christian communities to act in the light of climate change. It notes developments in public theology, as well as the rise and dominance of a consumer capitalist economic story that frustrates action for the integrity of God's creation. It identifies public missiology with a locus in public theology. It distinguishes public missiology as the discipline that involves the church in active engagement. Drawing on the seminal thought of David Bosch and the work of Gregory Leffel in public Christian activism, the article argues for five dimensions in public missiology, which are inextricably intertwined. They include a public disposition of ongoing repentance, a humble and prayerful engagement within Christian community, an active engagement with the ecological crisis in the world (evangelism in community), a public telling of the story of the meaning of God's creation (proclamation), and a call to turn toward action for the integrity of creation (conversion). Out of the interplay of these dimensions, through theological reflection and careful consideration of critical social theory, a new public missiological story is to be woven that can capture the imagination of people, both of faith and no faith, to action for a healed creation.
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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 | 0.010 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.063 |
| Scholarly communication | 0.016 | 0.018 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.012 | 0.024 |
| 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".