Is the medium the message? Exploring the intersection of social media and collective action in the San José Bike Party
Bibliographic record
Abstract
The San José Bike Party (SJBP) is a diverse collective of cyclists gathering for monthly group rides around the urban centre of San José, California. By leveraging social networking platforms, the SJBP announces a route and theme just prior to the ride each month. We argue that organizing, producing, and participating in these rides constitute a political act which can help to promote civic engagement and collective action. Further, we explored the way in which collective action can be fostered via social media. Through analysis of semi-structured individual interviews, focus-group interviews, moving methodologies and field observations derived from researcher participation in SJBP events, we articulate the complexities of contested and negotiated meanings of the use of technology, social media and activism assigned to the event by participants, yielding these themes: Critical Analysis of Social Media’s Influence, Political Expressions in the SJBP and Prefigurative Politics in the SJBP.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.012 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| 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 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".