Ordinary ethics and its temporalities: The Christian God and the 2016 Ghanaian elections
Bibliographic record
Abstract
In this paper I provide an analysis of how the then-imminent event of the Ghanaian 2016 elections operated within and interrupted a born-again Christian understanding of social and political change. I argue that much can be gained from understanding Pentecostal Christianity in Ghana by paying close attention to how born-again Christians anticipate and participate in shaping the near future. My analysis of this period, just before (and after) the 2016 elections—from the perspective of born-again Christians in Ghana—contributes to an engagement with the immanent and imminent qualities of ethical life. In accounting for the ways in which the Christian “God” and the “nation” overlap or collide in born-again Pentecostal discourse and practice in Ghana, I propose that the precise configuration of how these forces come together and come apart has a force that complicates how we imagine ethics as something explicit in discourse or about the ability to step back in reflection.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.021 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.003 |
| 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".