Brittney Griner, Intersectionality, and “Woke Politics”: A Critical Examination of Brittney Griner’s Return to the United States
Bibliographic record
Abstract
In February of 2022, professional women’s basketball player Brittney Griner was detained in Russia on drug possession charges. Her detainment was a trending Twitter topic demonstrating the cultural, political, and social state of the United States, specifically pertaining to race, gender, nationality, and LGBTQ matters. The purpose of this study was to analyze what Brittney Griner’s release from Russia tells us about social power relations and contemporary social political matters on the axis of race, gender, and sexual orientation. We organized the data to determine three distinct, yet interconnected themes: (a) Woke Politics at the Intersection of Race, Gender, and Queerness; (b) Preferential Treatment at the Expense of Whiteness Informed Patriotism ; and (c) Intersectionality as Political Pandering.
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.
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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.036 | 0.031 |
| Scholarly communication | 0.014 | 0.008 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.004 | 0.012 |
| Insufficient payload (model declined to judge) | 0.004 | 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".