Crying, “Wolf!” The Campaign Against Critical Race Theory in American Public Schools as an Expression of Contemporary White Grievance in an Era of Fake News
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 recent fervor over Critical Race Theory (CRT) in American public schools is the result of a confluence of contributing factors including: an eroded news media apparatus operating within a capitalist framework where an increasing portion of the American populace consume news through hyper-partisan cable news networks and social media that comports with their individual ideological preference; the decrying of CRT in schools as the latest iteration of historically-reliable White Backlash; and a highly-effective conservative messaging apparatus skilled in fomenting White Rage based on disinformation. In this essay I will, first, briefly survey America’s collapsing contemporary news media industry before discussing contextualizing White Rage throughout American history. From there, I will transition the article’s focus to the modern conservative media machine pushing fake news highlighting the (non-existent) issue of CRT in primarily suburban public schools as an exemplification of White Rage to protect whiteness and its hegemony for political gain.
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 | 0.006 | 0.008 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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