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Record W4379653490 · doi:10.32920/ifmj.v3i1.1642

Intersections between Technology, Journalism and Civic Participation in India

2023· article· en· W4379653490 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInteractive Film and Media Journal · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFilmmakingStorytellingJournalismWitnessNarrativeMedia studiesSociologyMainstreamAffordanceReality televisionGrassrootsSocial mediaAestheticsVisual artsPolitical scienceArtPsychologyLiteratureLawPolitics

Abstract

fetched live from OpenAlex

The adaptation of evolving technology in Indian filmmaking has been a process of embracing it as a valuable tool rather than perceiving it as an alien imposition from formerly colonized nations. Developments in telecommunications since 1995 have profoundly impacted filmmaking in India, from the technology employed to the evolution of non-fiction storytelling. In an environment where mainstream journalism faces challenges and grassroots media gradually gains viewership on digital platforms, immersive journalism can enhance civic participation by providing a heightened sense of 'immersion' and 'presence' compared to traditional two-dimensional formats. This paper examines 360-degree immersive journalism videos produced by ElseVR, a non-fiction subsidiary of Mumbai-based Memesys Cultural Lab, a pioneer in mixed-reality filmmaking in India. During the first wave of VR immersive non-fiction, ElseVR released app-based quarterly magazines featuring 360 video documentaries. These films not only offered narrative experiences but also encouraged viewers to assume various perspectives while watching them. Utilizing Nash's (2022) concepts for interpreting first-person experiences in VR documentaries, this study employs the positions of tourist, encounter, and witness to analyze three immersive journalistic documentaries using ElseVR's technology: Nishtha Jain's Submerged (2016), Naomi Shah and Pourush Turel's Caste is Not a Rumour (2017), and Faiza Khan's When Land Is Lost, Do We Eat Coal (2016). Each position provides insight into the experience of entering unfamiliar spaces, as interest, curiosity, and the VR environment’s affordances give rise to a multi-sensory experience where the positions of tourist, encounter, and witness uniquely intersect. In India, where digital and smartphone penetration varies significantly, the potential for widespread adoption of such technology remains uncertain. However, the intersections between journalism, civic engagement, and technology in ElseVR's documentaries are noteworthy. By avoiding a technologically deterministic perspective, a heightened understanding of VR technology's role in journalism from non-Western environments could enhance civic participation and encourage reevaluating emerging media practices in the Global South.

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.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.395

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.034
GPT teacher head0.289
Teacher spread0.256 · 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