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Record W4381125109 · doi:10.32920/ifmj.v3i2.1876

Editorial

2023· editorial· en· W4381125109 on OpenAlex
Hudson Moura, Heidi Rae Cooley, Stefano Odorico, Patricia R. Zimmermann

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueInteractive Film and Media Journal · 2023
Typeeditorial
Languageen
FieldArts and Humanities
TopicCrafts, Textile, and Design
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Welcome to the proceedings issue of the annual Interactive Film and Media Conference, where we celebrate the dynamic relationships between care, collaboration, and craft across new media platforms, practices, and theories. This issue showcases video presentations of the papers that delve into these interconnected themes, offering a diverse range of perspectives and insights.
 The nexus of care, collaboration, and craft is a fertile ground for exploring the crucial work of combatting polarization and embracing multiple voices, plural practices, and new ways of working together. In this fluid and adaptive landscape, the definitions and relationships of care, collaboration, and craft are not fixed but constantly evolving.
 At the onset of the conference, we shared some exciting editorial news that reflects the dynamic nature of the interactive film and media field. As this field rapidly evolves, outpacing the traditional academic publishing world, we are committed to ensuring our publication remains at the forefront of innovation and inclusivity. In light of this, we have significantly changed our publishing approach.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.023
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.020
GPT teacher head0.267
Teacher spread0.246 · 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