<scp>NEO‐PENTECOSTAL URBAN INFRASTRUCTURES IN LAGOS</scp>, <scp>NIGERIA</scp>: Ontology, Politics, Poetics
Bibliographic record
Abstract
Abstract This article examines how the urban fabric of Lagos is being transformed by neo‐Pentecostal forms of Christian religiosity—a transformation not only of inner, ‘private’ lives but also of urban infrastructures and their provision. Neo‐Pentecostal churches in Lagos now provide a range of infrastructures such as roads, bridges, electricity, water, healthcare, plus banking and educational facilities as well as a range of residential options. Church emblems are common features of the Lagos streetscape and can be found on buildings, vehicles and advertisement hoardings. In addition to their symbolic, moral and aesthetic register, Pentecostal urban infrastructures can be understood as a response to the crisis of social reproduction in Lagos, within the context of a postcolonial state that has adopted a position of entrenched neoliberalism. Critical questions remain, however, regarding whose interests are served by this arrangement. The article aims to understand (1) the ontological status of neo‐Pentecostal infrastructures, taking seriously the production and delivery of material infrastructures that are understood by some users to also be spiritual; and (2) the novel relations between church, state, market and citizen articulated by these infrastructures. Our arguments are based on qualitative data collected in Lagos between 2018 and 2022.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".