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Record W4381124528 · doi:10.32920/ifmj.v3i2.1788

Crafting Care through Text and Subtitles

2023· article· en· W4381124528 on OpenAlexaffvenue
Hudson Moura

Bibliographic record

VenueInteractive Film and Media Journal · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsNarrativeStorytellingNarrativityEmbodied cognitionPsychologyComputer scienceAestheticsArtLiterature

Abstract

fetched live from OpenAlex

This paper investigates the underappreciated, yet integral role of text, subtitles, and intertitles in the realms of interactive films and multimedia storytelling, employing a unique lens of craft, collaboration, and care. Drawing from Gilles Deleuze's notion of the 'speech-act' and The Care Collective's interpretation of care, the study explores the use of written text as a tool that guides the narrative, widens accessibility, and promotes justice and equity in viewing experiences. The complexity of the subtitling process, going beyond mere translation, is highlighted. Delving into Deleuze's concept of 'scriptual', the paper outlines how reading subtitles adds a layer of abstract universality to films, demanding more than passive consumption from viewers. Analyzing the dynamics and impacts of subtitles in interactive films, it underscores their critical role in shaping viewer comprehension and perception. The exploration of five interactive projects – 4Stelle Hotel (2014), Life on Hold (2015), "The Displaced" (2015), Sea Prayer (2018), and Another Dream (2019) – offers concrete illustrations of how subtitles and intertitles contribute to creating sensory, caring, and emotional experiences, facilitating viewer engagement and understanding. By enhancing navigation and narrativity, this paper argues that subtitles and text can nurture a culture of care, aligning with the principles of The Care Manifesto. The conclusion brings focus on the affect and sensation in relation to written text and subtitles. Recognizing viewer agency in interpreting narrative, it emphasizes the potential of text and subtitles to catalyze dialogue, shared experiences, and a sense of care and connection among viewers. The paper further underscores the role of subtitles and intertitles as conduits, amplifying audiences' sensory and emotional experiences and fostering a deeper understanding of characters, cultural nuances, and broader social, cultural, and political realities. The potential of these interactive experiences to stimulate political engagement is also discussed, marking a new benchmark in the cinematic experience. Subtitles have a transformative impact on the audience's agency. They not only serve as linguistic translation tools but also as conduits that imbue the narrative and characters with immediacy, individuality, and complexity. This assists the audience in navigating the intricacies of the story, unlocking hidden layers of meaning, and understanding cultural nuances. This enhanced comprehension grants viewers agency in directing their choices and interpretations, fostering a more profound connection with the story and its characters. In summary, this study underscores the significance of integrating text and subtitles in interactive film projects, accentuating their capacity to foster inclusivity, collaboration, and care within the narrative. It presents a compelling case for filmmakers and media professionals to design text and subtitle systems that enrich the viewing experience, disrupt uncaring societal structures, and, ultimately, contribute to a more empathetic and inclusive world.

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)0.006
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.008
Scholarly communication0.0060.006
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.051
GPT teacher head0.318
Teacher spread0.267 · 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

Citations1
Published2023
Admission routes2
Has abstractyes

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