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Record W2045877034 · doi:10.1109/istas.2008.4559782

Participatory videoconferencing for groups

2008· article· en· W2045877034 on OpenAlexaff
Heather Molyneaux, Susan O’Donnell, Helen Fournier, Kerri Gibson

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsVideoconferencingCitizen journalismMultimediaTeleconferenceComputer sciencePsychologyMedical educationPublic relationsMedicinePolitical scienceWorld Wide Web

Abstract

fetched live from OpenAlex

For decades after its introduction, videoconferencing remained a marginal communications medium, used primarily by corporate businesses. However videoconferencing has been taken up by a wide range of individuals, groups and communities. Videoconferencing occurs when people at geographically dispersed sites communicate with each other by transmitting audio and visual data through videoconferencing systems. Group videoconferencing - or multi-site videoconferencing - refers to linking individuals or groups of people in three or more sites using videoconference systems. This unique method of communicating face-to-face without being there in-person is currently being used for education and learning, health and medicine, meetings and conferences, personal communication and community-building. Group videoconferencing does not necessarily lead to participation and knowledge retention; for this to occur it must be used thoughtfully and strategically. Based on the work of researchers and practitioners in the field and an analysis of participatory videoconferencing literature, this paper suggests potential good practices for increasing participation during group videoconferences.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.934
Threshold uncertainty score0.473

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.249
GPT teacher head0.371
Teacher spread0.122 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations2
Published2008
Admission routes1
Has abstractyes

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