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Record W4410313816 · doi:10.32920/ifmj.v3i2.1992

Transmedia Stories and Practice

2024· article· en· W4410313816 on OpenAlexvenueno aff
Mariana Ciancia, Francesca Piredda

Bibliographic record

VenueInteractive Film and Media Journal · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsnot available
Fundersnot available
KeywordsSociology

Abstract

fetched live from OpenAlex

Since 2019, the research group Imagis Lab (Department of Design, Politecnico di Milano) has been conducting action-research activities inside prisons in Milan (Seconda Casa di Reclusione di Bollate and Casa Circondariale' Francesco di Cataldo', carcere di San Vittore), experimenting with the role of communication design as a relational process, and storytelling as both a tool to activate listening processes and a collaborative practice to investigate and build new imaginaries. This paper focuses on the current activities within Off Campus San Vittore (www.polisocial.polimi.it/en/off-campus-3/), a space of the university within the San Vittore jail, the third one opened by Polisocial - The social engagement and responsibility programme at Politecnico di Milano in marginal places of the city identified in collaboration with the Milan Municipality. According to a multidisciplinary and in-field research approach, Off Campus San Vittore aims to build new knowledge about places of detention and bring the prison closer to the city and vice versa. The specific goal of Imagis Lab's activities within Off Campus San Vittore is the production of participatory narratives and multimedia content, developing a communication system to connect the inside world with the outside world. Prison is a separate world only inmates, prison officers, and sanitary and pedagogical operators know, affected by complex and slow internal dynamics. On the one hand, it is a physical space in the neighbourhood, but citizens mostly ignore it. On the other hand, it is a social space inhabited by people; it is a "hidden neighbourhood" in the San Vittore neighbourhood. This paper presents a design education activity that Imagis Lab is conducting to support the transformation of the public opinion's imaginary of the prison, involving 40 students enrolled in the Final Design Studio course of the MSc in Communication Design (School of Design, Politecnico di Milano). The project goal is to give new meanings to the prison, creating a more comprehensive and layered narrative of the neighbourhood in which San Vittore prison could no longer be perceived as an invisible space but as an integrated reality through: The inclusion of the 'hidden neighbourhood': including the prison in people's imagination; The construction of a new mind: creating a new perception of the prison and the space it occupies in the neighbourhood by building new meanings; The generation of a polyphonic narrative: telling the prison through different points of view; The construction of a different relationship between the neighbourhood and the San Vittore prison: engaging neighbourhood citizens through the design of multi-channel communication systems. The paper presents the process and analyses the transmedia projects: design teams met and listened to stakeholders dealing with the complex challenges of prison and its social groups. They jumped into the stakeholders' shoes and provided different viewpoints. The transmedia practice activated new societal connections and students' awareness about the system of values and conflicts and stimulated their own agency. Building transmedia projects based on fictional and/or factual plots, they shape entanglements at the relational and narrative levels. They elicit discourses as transformation and engagement projects towards cultural change.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.927
Threshold uncertainty score0.593

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 studies0.0000.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.353
Teacher spread0.330 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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