‘The power of a simple gift’: The ethics of children’s evangelization by Christian NGOs in Côte d’Ivoire
Bibliographic record
Abstract
This article examines how some Evangelical nongovernmental organizations (NGOs) in Côte d’Ivoire have focused their actions towards children and in doing so use strategies based on gifts and play. These organizations’ activities encourage a holistic conception of ‘development’ that is based on both spiritual and material dimensions. In fact, these NGOs provide fascinating examples of the interaction between divergent development ideals, which are based on seemingly competing notions of the ‘good life’. These organizations promote an ethics of evangelization, which rests on the underlying ideas that ‘good Christians will make good citizens’, by emphasizing activities geared to the tutoring of children through educational, charitable, sanitary, and playful interventions. In order to illustrate how the leaders of these local Evangelical NGOs carefully manipulate the border between play and evangelization, and how amusement and gift-giving are key to the interconnection of humanitarian and proselytizing activities, we focus the analysis on the activities of a local affiliate of the transnational NGO Samaritan’s Purse. This case study also highlights how ethical ideals of evangelization defined by transnational organizations are appropriated by local actors and integrated within local discourses regarding the moralization of Ivorian society. The article is based on ethnographic field research conducted in the city of Abidjan in 2011, 2012, and 2016.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.036 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| 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".