Organising Everyday Resistance: An Ethnographic Study of Rickshaw Drivers in Bogotá
Bibliographic record
Abstract
Workers in the informal transport sector are often exposed to multiple forms of workplace violence, for instance by the police and their colleagues. Through a collection of rich ethnographic stories and using the concept of popular resistance, this article investigates how and under what conditions rickshaw drivers in Bogotá resist violence in their workplace. The results reveal that rickshaw associations have been essential in articulating acts of everyday resistance to the legal ban on this activity, such regulating routes, fees and stops. However, associations have created new forms of oppression, being labelled as mafia‐like organisations, showing that resistance can also translate into new forms of domination. Contrary to the argument that everyday resistance is uncoordinated, this article shows that acts of everyday resistance can be organised by actors that switch between different individual and collective strategies. Thus, organisations can provide a framework to resist the law on an everyday basis.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".