Bibliographic record
Abstract
Critical Mass is the name given to the modern phenomenon of self‐organized, mass bike rides with a contrarian spirit. The history of cycling en masse stretches back to the late nineteenth century. In 1896 thousands of cyclists rode through San Francisco agitating for better roads; in Weimar Germany the workers' cycling association, Solidarity, was able to mobilize hundreds of thousands of demonstrators on wheels; in the early 1970s the new ecological sensibility prompted large rallies of cyclists with a green agenda in New York, Berlin, and elsewhere. The first Critical Mass ride took place in San Francisco in 1992 with just a few dozen cyclists. Within a year the number had reached a thousand, and since the mid‐1990s the monthly “organized coincidence” attracts on occasion over 5,000 self‐propelled celebrants – as much street theater as (semi)functional commute. The idea spread rapidly by word of mouth and later through the Internet. Critical Mass rides have been recorded in over 400 cities around the world, including Chicago, São Paulo, Milan, Budapest, Tokyo, Santiago, and Toronto.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".