Bibliographic record
Abstract
In metropolitan life, public transportation is essential to the everyday commute of people. Although they manifest important aspects of our culture, they also sometimes present issues of conflict by the violation of personal space, privacy, and other harmful and abusive behavior. This workshop aims to increase awareness of these conflicts and abusive behaviors in public transportation especially from the eyes of the victims. Transportation creates an impact on our daily roles, public persona, and social identity. This project aims to expose these issues by the contemporary critique of the cultural norms shaped by compulsory encounters happening in urban transportation. The project traces the ways that the participants, as passengers, would survive in such an oppressive cultural context. In doing so, we aim to ask the questions of how can one body turn invisible in such a physically limiting and politically controlling, gaze-centered space? In this workshop, participants are given a story that takes place in public transportation with the circumstance of being in a threatening zone. While they are being told of how the story begins, it is up to them to decide how such conflict is, or can be, resolved given their imagined narrative construction. In this dialogical exchange of stories, participants are also welcomed to tell their personal stories regarding a trip in public transportation. After the participants share their stories, they are motivated to produce tactics and strategies to cope with what they have encountered in their experiences. The participants will practice listening to each other’s stories that stayed hidden or ignored by the public.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".