The Making of a Reflective Practitioner of Mission: What Shaped the Author of Christianity Rediscovered
Bibliographic record
Abstract
Abstract Vincent Donovan is best known for his best-selling Christianity Rediscovered (1978, 2003), frequently cited in discussions of the mission of the church in the post-Christendom West. His recently published letters from Tanzania between 1957 and 1973 shed new light on the man and his development. This article identifies some of the influences that shaped Donovan: firstly, the significance of the changing political face of Africa at that time, and how it led Donovan to question what this meant for the future of missions in Africa. Secondly, there were ecclesial influences. One was the character of his Order (the Spiritans) which found a fresh opportunity to experiment with enculturation when a new diocese was founded in Arusha in 1963, led by a Spiritan bishop. The other ecclesial influence was that of Vatican II, to which Spiritans contributed and which (they felt) affirmed their direction – though they also felt it did not go far enough. Thirdly, the letters show Donovan’s personal development from his arrival in Africa in 1957 as a naïve young missionary to the seasoned missiologist concerned “to fill the flesh and blood of Africa with the soul of Christianity” whose story is told in Christianity Rediscovered.
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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 | 0.015 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.015 | 0.049 |
| Scholarly communication | 0.016 | 0.009 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.002 | 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".