Bibliographic record
Abstract
Abstract Moving from contemporary ethnography to Brazilian poetry from the turn of the twentieth century, this paper extends recent calls to attend more to relationships in religious studies. Scholars have argued that focusing on intimate relations allows us to stay critical while overcoming the impasses produced by opposed approaches, especially those that either privilege materiality or interiority. This paper explores how a focus on relations inspired by the work of Marilyn Strathern, which acknowledges the broad reach of relations—from the interpersonal to the conceptual, nonhuman, and evil—offers more than just a way to unite approaches. I read relations through cordel poetry from northeast Brazil, including verses found in the rubble of Brazil’s most notorious war, Canudos (1897). Engaging critically with studies of popular media that naturalize mediation, materiality, and politics as analytical starting points, I show how focusing on relations can help transform both the terms of our analyses and the politics of our descriptions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".