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Record W4381123985 · doi:10.32920/ifmj.v3i2.1739

Reflections

2023· article· en· W4381123985 on OpenAlexvenueno aff
Cansu Nur Şimşek

Bibliographic record

VenueInteractive Film and Media Journal · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicMedia Influence and Health
Canadian institutionsnot available
Fundersnot available
KeywordsActive listeningPerformative utterancePublic transportSociologyFacilitatorGrassrootsMedia studiesNarrativePoliticsPsychologyAestheticsPolitical scienceSocial psychologyCommunicationArtLawLiterature

Abstract

fetched live from OpenAlex

This paper introduces my experimental game prototype titled Corridor which puts public transportation into conversation with survival struggle. As a performative role-playing game experience and experiment, Corridor is about a trip using public transportation, inspired by the Metrobus systems of Istanbul, Turkey. Metrobus in Istanbul is a rapid public transportation system that combines metro and bus implemented in a separate corridor on the highway (Berdiyorov 2020). Besides my own experiences in Metrobus, I utilize the interactions of a workshop that I co-operated at the Interactive Film and Media Conference (IFM22), titled “Listening to Passengers Listening to Stories: Interactive Storytelling” to contextualize Corridor. By building dialogical exchange of stories, participants of the workshop explored the experiences of public transportation users in relation to the survival of the body (Simsek and Andic 2022). Eventually, the conflicts that the participants shared in the workshop resonated with me to build intersections between survival struggles in the wilderness and a trip on public transportation. Survival is the oldest quest of living beings and is assumed as another term for being alive, and more importantly for being in the world. Survival of living beings is closely related to stability maintained in their bodies and for humans, this includes motivation and emotion (Evans 2015). At the same time, beyond simply a life and death matter, “survival invokes a complex bundle of existential struggles, political convictions, and cultural experiences” (Zeilinger 2018, 16). Reading survival from an ecological point of view, life on earth is collaborative survival (Tsing 2015). In metropolitan life, transportation is essential to the everyday commute of people, and this is part of survival. Although transportation systems manifest important aspects of our culture, they also sometimes present issues of conflict through the violation of personal space, privacy, and other harmful and abusive behavior. To overcome survival struggles, it is necessary to take meaningful actions, in games or real life. In the gameplay of Corridor, the participants need to maintain an Energy and Morale level Meter by collecting item cards and playing encounter cards strategically. Encounter cards present challenges such as social interactions between riders, protests about the economic situations, and seasons that are affected by climate crisis influencing the participants’ survival level. The matrix of the points ranging between 0 and 4 comes from nature writer Henry David Thoreau's “necessities of life” which are limited accessibility of food, shelter, fuel (modified as health), and clothing (1980). With Corridor, I intervene in the discussions of environmental humanities and game studies with the creative application of survival in an urban context, public transportation. In the experience of Corridor, the players can find a space to reflect on urban survival from the lenses of riders that include human experience, societal factors, and ecological thinking. Redressing the transportation game mechanics related to movement and mixing them with survival builds a critical reflection on human and nature relations in urban. Looking at and rethinking transportation as survival would light the way towards sustainable cities, and policies of living or moving together.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.239
Threshold uncertainty score0.801

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0090.007
Open science0.0020.007
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.2390.109

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 head0.110
GPT teacher head0.382
Teacher spread0.272 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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