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Record W4410313881 · doi:10.32920/ifmj.v4i1-2.2596

Communities, Structures, Entanglements

2024· article· en· W4410313881 on OpenAlexaffvenue
Hudson Moura

Bibliographic record

VenueInteractive Film and Media Journal · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsSociologyAestheticsArt

Abstract

fetched live from OpenAlex

This editorial introduces Volume 4 of the Interactive Film and Media Journal, which brings together scholarly video essays and research-creation projects presented at the VI Interactive Film and Media Conference (#IFM2024), themed Communities – Structures – Entanglements. Framing interactivity not merely as a technical affordance but as a relational practice, the ensemble of presentations of this volume explores how digital media can reconfigure the conditions of storytelling, agency, and collaboration. Contributions investigate the construction and mediation of community through participatory and counterpublic media; the ideological and experiential implications of narrative structures in interactive environments; and the epistemological, ethical, and affective dimensions of entanglement across digital systems, bodies, and spaces. By highlighting how these three conceptual pillars intersect across interdisciplinary, political, and aesthetic terrains, this collection affirms the vitality of interactive film and media as a tool for critical inquiry, speculative design, and socio-cultural transformation in an era marked by ecological uncertainty, technological proliferation, and shifting modalities of human connection.

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)0.005
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.015
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0120.070
Scholarly communication0.0150.024
Open science0.0010.016
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.025
GPT teacher head0.332
Teacher spread0.306 · 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
Published2024
Admission routes2
Has abstractyes

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