Holy Infrastructures: Catholicism, Detroit Borderlands, and the Elements
Bibliographic record
Abstract
Abstract Through an ethnographic rendering of the Catholic Church at the Detroit-Windsor borderland, this article foregrounds the ways elemental forces, including water, earth/soil, and air, form an interconnected entity that constitutes part of the theopolitical and religious scaffolding of Holy Infrastructures. We argue that the repetitive inscription of social and affective flows within an urban terrain generates infrastructure projects that contract forces of variable intensity into alliance or disjuncture. The interrelation of these forces as Holy Infrastructure, offers vital information on (dis/en)abling racialized forms of hosting and being hosted by the divine within urban settings, specifically as it pertains to theological labor at multiple scales. Indeed, we understand holiness in Catholic Detroit as a performative sovereignty of partition that mediates a desire for unbrokenness and spatiotemporal rapture. The topologies of Holy Infrastructure thus give rise to overlapping but divergent “wholes” within the racialized urban terrain, offering insight into the Church as a loose network of horizontal alliances that may enforce or subvert hierarchy. Our focus on elemental forces allows us to move beyond abstractions and focus on how theological projects take shape in physical space within an urban ecology. Indeed, Holy Infrastructures come into focus most clearly in relation to the intersection of theology with environmental, climatic, and territorial projects. By approaching Church and State as co-constitutive, we show how Holy Infrastructures offer insight into the racialized and gendered terrain of contemporary Detroit.
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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 | 0.001 | 0.001 |
| 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 | 0.011 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 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".