‘Everything Looks Better from the Seat of a Bike’: a qualitative exploration of the San José Bike Party
Bibliographic record
Abstract
The San José Bike Party (SJBP) originated in 2004–2005 as a diverse collection of cyclists joining together for group rides in and around San José, California. By 2007, a core group of organizers intentionally avoided the overt political overtones of the often-controversial Critical Mass ride for a more benign and ‘fun’ gathering. The ride, which currently attracts between 1,000 and 4,000 cyclists, is often organized around specific themes, such as ‘World Cup’ and ‘Superheroes.’ Upon closer examination, however, there seems to be contradictory experiential narratives that do not necessarily align with the organization’s mission statement, Building community through bicycling. The purpose of this paper is to present results from a qualitative examination of the SJBP. Through analysis and thematization of a series of semi-structured interviews, focus group data, and field observations, the complexities of the often contested and negotiated meanings assigned to the event by SJBP participants are presented.
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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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".