Ethnography is Dogmatics: Making Description Central to Systematic Theology
Bibliographic record
Abstract
Thepurpose of this article is to suggest that dogmatic theology is best practised through description of the world. Its method is to marry two unlikely characters: Karl Bardi, Swiss Reformed theologian, and Michel Foucault, French atheist philosopher and historian. The thesis we propose can be presented directly. Barth is well known for insisting, in his ethics lectures in Münster and Bonn (1928/29 and 1930/31 respectively) and volume II of hisChurch Dogmatics, that ethics is dogmatics. Foucault famously rejected ethics which makes universal normative claims in favour of producing descriptions of historical phenomena and letting the reader make moral judgments accordingly. His method, we suggest, understands ethics as ethnography. We have taken these two ways of thinking together and excluded the middle term: ethics. This has yielded the abbreviated form: ethnography is dogmatics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.033 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.006 | 0.099 |
| Scholarly communication | 0.012 | 0.019 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| 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".