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Record W2278596738 · doi:10.22230/src.2012v3n3a95

New Theories and Methods for Screen-Centred Interfaces: A Pilot Study

2013· article· en· W2278596738 on OpenAlexaffvenue
Sheila Petty, Luigi Benedicenti, Christian Riegel, Katherine M. Robinson

Bibliographic record

VenueScholarly and Research Communication · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicMultimedia Communication and Technology
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsVariety (cybernetics)Computer scienceCognitionMeaning (existential)Human–computer interactionSoftwareIdentity (music)ENCODEMultimediaWorld Wide WebPsychologyAestheticsArtificial intelligenceArt

Abstract

fetched live from OpenAlex

There is an urgent need to examine the ways in which screen-centred interfaces present images and encode and decode meaning, identity, and culture. This project is an interdisciplinary collaboration by four researchers at the University of Regina and builds on our work on screen-centred interfaces in our respective disciplines of cognitive psychology, literary studies, media studies, and software systems engineering. The fundamental goals of our collaborative project are to engage interdisciplinary means and perspectives to systematically develop effective methodologies to measure cognitive processes, aesthetic effects, and software and hardware efficacy of the new and developing digital media. In this project/pilot study we intend to select a series of media fragments that include poetic, visual, and language texts, as well as those that combine these features, and present them on a variety of screen-centred interfaces to explore their cognitive and aesthetic effects and features.

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 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)0.007
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.641
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.228
GPT teacher head0.516
Teacher spread0.288 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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
Published2013
Admission routes2
Has abstractyes

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