Bibliographic record
Abstract
Written in the wake of the COVID-19 pandemic, this article explores the limits of solidarity between LGBTQ Pride and Black Lives Matter (BLM). In 2020, most Pride events around the world were cancelled due to COVID-19; however, many were reimagined in new forms that centered BLM. Using Global Pride 2020 as a case study of one such event, I argue for an understanding of Pride organizations’ cooptation of BLM that extends beyond clichés of performative activism to consider how such solidarities serve to legitimate logics of white supremacy. At a time when global pandemics of disease and racial violence made clear the importance of reimagining existing systems, and radical change became increasingly conceivable to the global public, I question the compatibility between conventional discourses of LGBTQ progress and Black freedom. Specifically, I examine how Pride organizations used the global disruption and devastation of COVID-19 to summon support from the BLM movement while simultaneously perpetuating anti-blackness especially and racialized homonationalisms more generally.
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 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 | 0.001 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 teacher head, 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".