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Record W4281492096 · doi:10.32920/ifmj.v2i2.1559

Listening to Passengers, Listening to Stories

2022· article· en· W4281492096 on OpenAlexvenueno aff
Cansu Nur Şimşek, Atanur Andic

Bibliographic record

VenueInteractive Film and Media Journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Deviance, and Social Control
Canadian institutionsnot available
Fundersnot available
KeywordsActive listeningNarrativePublic relationsContext (archaeology)SociologyPublic spacePersonaAestheticsSocial psychologyPsychologyMedia studiesInternet privacyPolitical scienceHistoryEngineeringCommunication

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.021
GPT teacher head0.333
Teacher spread0.312 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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