Drive-By Solidarity
Bibliographic record
Abstract
This article offers a theoretical and empirical exploration of a form of solidarity in which one group spontaneously mobilizes in support of another, unrelated group. It is a fleeting solidarity based not on shared identity but on temporarily aligned goals, one aimed less at persistence and more at short-term impact. We call this drive-by solidarity because of its spontaneous, unilateral, and unsolicited nature. We argue that it is a “thinner” form of solidarity in comparison to “thicker” forms usually conceptualized in the social movement literature. We examine the case of Anonymous’s “Operation KKK” (#OpKKK), an online hacktivist campaign to expose Ku Klux Klan members carried out in support of #BlackLivesMatter protesters in Ferguson, Missouri, in November 2014, and we use social media data to show that, while BLM and Anonymous networks temporarily coordinated during the protests, there is no subsequent evidence of long-term coordination.
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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 | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".