Six or Eleven Theses on “Islamic” and “Christian” Terrorism in America
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
The term “Christian terrorism” began to appear in U.S. media narratives following a shooting outside of a Planned Parenthood clinic in 2015. Reflecting on a blog post I wrote from this time nearly six-years later, where I had proposed six theses on “Islamic” versus “Christian” terrorism in America, I consider how this rhetoric has developed in the interim. Adding five additional theses, I argue that the relative absence of terror attacks on U.S. soil throughout the Trump era, and the preoccupation with a variety of culture wars issues, has complicated the ways in which Muslims/Islam are constructed in the contemporary United States. I also consider the “Muslim question” and how it relates to Marx’s “On the Jewish Question.” Despite certain parallels between these issues, I propose that the “question” for Western Muslims today is less about achieving basic rights as it is a battle over the definition of Islam itself.
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 | 0.000 |
| Science and technology studies | 0.001 | 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