The Discursive Construction of Race: A Comparative Analysis of Government Responses to the Capitol Hill Insurrection and 2020 Black Lives Matter Protests
Bibliographic record
Abstract
This examination of biopolitical responses interrogates the juxtaposition of racial construction in the wake of the 2021 Capitol Hill insurrection and 2020 Black Lives Matter protests. To probe the facilitation of anti-Black racist discursive symbolism within US and Canadian federal government leadership. Examining race as a political category, this comparative Foucauldian Discourse Analysis explores the linguistic positionality of race and political allegiance, to determine whether a proximity to Whiteness and law enforcement has reproduced anti-Black ideology. The analyzation of Donald Trump and Justin Trudeau’s tweets and national addresses are a critique of power relations, subject positions, and government compliance in the propagation of White protectionism, following a genealogical timeline of history-making events while charting shifts in racial consciousness. In problematizing the government regulated subjugation of Black bodies, we evaluate the permeation of White ideological dialogue through a critical race theoretical lens, questioning whether political discourse enlists police as a mechanism of White protectionism in the shaping of racial phenomena.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.016 | 0.013 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".