Preaching to the Choir? Rhetoric and Identity in a Polarized Age
Bibliographic record
Abstract
How might discourse generate political change? So far, democratic theorists have focused largely on how deliberative exchanges might shift political opinion. Responding to empirical research that casts doubt on the generalizability of deliberative mechanisms outside of carefully designed forums, this essay seeks to broaden the scope of discourse theory by considering speech that addresses participants’ identities instead. More specifically, we ask what may be learned about identity-oriented discourse by examining the practice of religious preaching. As we demonstrate, scholars of homiletics—the study of preaching—have identified three core features that support its focus on identity: its unconditionality, its appeal to authoritative texts and traditions, and its diffuse instrumentality. We then ask what each of these features might look like in more straightforwardly political contexts. Finally, we address several normative questions raised by this practice, as a way of exploring the promises and dangers accompanying identity-oriented discourse more generally.
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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 | 0.010 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.032 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| 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".