Empathy as Bug: The Rhetoric of MAGA’s “Battle”
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This essay critiques the rhetorical displacement of empathy by sympathy in contemporary political discourse, especially within digital media ecologies dominated by memes, grievance, and identitarian performativity. Beginning with Elon Musk’s claim that empathy is “civilizational suicide,” the essay traces how sympathetic identification—rooted in sameness and affective fusion—has supplanted empathy’s difficult labor of encountering difference. Drawing on rhetorical theory, affect studies, and close readings of memes, the essay analyzes how contemporary rhetorics (including on the Left) impede the slow, uncertain, and unsentimental work that empathy requires. Turning to Hannah Arendt’s Eichmann in Jerusalem and theories of rhetorical empathy, the essay reframes empathy not as moral sentiment but as agonistic hearkening—a practice of nonidentical attunement amid algorithmic closure. Ultimately, it calls for rhetorical scholars to reclaim empathy as a counter-rhetorical and ontological necessity in the face of post-truth tribalism.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it