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Record W2182833683 · doi:10.11575/prism/30809

VisSTREAM: VISUALIZING TEMPORAL MULTIMEDIA CONVERSATIONS

2002· article· en· W2182833683 on OpenAlexaff
Charlotte Tang, Saul Greenberg

Bibliographic record

VenuePRISM (University of Calgary) · 2002
Typearticle
Languageen
FieldDecision Sciences
TopicPersonal Information Management and User Behavior
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsImpromptuCasualComputer-supported cooperative workComputer scienceMultimediaWorld Wide WebContext (archaeology)Collaborative softwareInterpersonal communicationHuman–computer interactionWork (physics)CommunicationPsychologyEngineering

Abstract

fetched live from OpenAlex

Casual interaction is recognized as the backbone of everyday collaboration, where a wealth of valuable information is exchanged by people in brief and impromptu but context-rich meetings. Within CSCW, many researchers strive to support casual interaction between distance-separated collaborators through specially designed groupware systems. Early versions of these systems, such as media spaces and instant messaging systems, presented only one or two media channels for supporting interpersonal awareness and resulting interactions. However, more recent systems offer many media channels in an effort to emulate the rich contextual information visible in the everyday world. One such system built in our laboratory is the Notification Collage, which lets people post various media elements to a publicly viewable electronic work surface. Media elements include text notes, images, slide shows, web pages, video snapshots, one's computer screen, and so on. The idea is that these rich information sources provide the group with awareness not only of each other's interpersonal state, but of interesting artifacts; the consequence of this awareness will be many casual interactions.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.740
Threshold uncertainty score0.999

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.157
GPT teacher head0.339
Teacher spread0.182 · 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; both teacher heads agree on what is shown here.

Study designOther design
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

Citations3
Published2002
Admission routes1
Has abstractyes

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