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Record W4313303976 · doi:10.32920/ifmj.v2i4.1732

Interactive Documentary

2022· article· en· W4313303976 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 · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAffordancePolyphonyNarrativeSociologyActive listeningMedia studiesVisual artsPsychologyPedagogyLinguisticsArtCommunication

Abstract

fetched live from OpenAlex

This article responds to the 4th Interactive Film and Media International Conference (IFM 2022) themes of eco-media, epistemologies and listening by focusing on the role that interactive documentary can play in addressing the existential and pressing issue of climate change. It re-visits the article Interactive Documentary: setting the field which I co-authored with Sandra Gaudenzi in 2012 in light of this now central concern and asks how the affordances of interactive documentary can be used to help re-frame our engagement with the human and the non-human. It places metamodern and polyphonic thinking at the centre of this discussion, as two key concepts that I consider to be particularly helpful when thinking about the contribution that interactive documentary can make to wider debates about eco-media. The paper argues that metamodernism and polyphony can contribute to the development of transformative approaches to interactive documentary and indeed to interactive narrative more generally. This is important as it offers us a set of cognitive tools through which to think about how to navigate the complexities and uncertainties of our collective futures which climate change is undoubtedly bringing. The paper engages with the theoretical arguments first and then applies these to a discussion of my work as a co-convenor of the Polyphonic Documentary project before bringing these thoughts together as tentative conclusions and unresolved issues.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.019
GPT teacher head0.238
Teacher spread0.219 · 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