Carrying The CRT Legacy in Perilous Times: Research and Practice in the Social Sciences Under Florida’s Stop WOKE Act
Bibliographic record
Abstract
Florida’s House Bill 7, also known as the Stop Woke Act, is one of the most controversial legal measures in educational history, increasing the supervision of teaching and learning about antiblack racism in social studies education. Florida Governor, Ron DeSantis, has legally banned the teaching of CRT (critical race theory) from K-12 schools, colleges, and universities. In this paper, I analyze specific points from Florida’s House Bill 7 (2022), unpacking its legal divisiveness that upholds white supremacy in the social sciences. This blatant denial of America’s tragic racial history has intensified a hostile and superficial learning environment for teachers of social studies education. As a Black woman, educator, and researcher; there is an added layer of betrayal teaching about race under intense legal scrutiny. In this article, I intend to unpack my experience as one of the last groups of doctoral students to learn CRT at a Florida public university; revisiting the political shift against CRT and how it has impacted my research and practice.
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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 | 0.022 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.036 | 0.049 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".