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Computer‐Mediated Communication

2016· other· en· W2943137380 on OpenAlexaff
Maria Bakardjieva

Bibliographic record

VenueThe International Encyclopedia of Communication Theory and Philosophy · 2016
Typeother
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsHeuristicsVariety (cybernetics)MediationKey (lock)Computer scienceIntersection (aeronautics)Object (grammar)Computer-mediated communicationSociologyHuman–computer interactionKnowledge managementData scienceWorld Wide WebEngineeringSocial scienceComputer securityArtificial intelligenceThe Internet

Abstract

fetched live from OpenAlex

Abstract Computer‐mediated communication (CMC) refers to a wide variety of communication processes that involve individuals or groups and are realized through computer technologies. As an object of study in the social and human sciences, it lies at the intersection of two academic fields with different intellectual traditions—the study of technology and society, and the study of communication and media. This entry traces the evolution of three distinct paradigms underlying public and scholarly efforts to understand the nature of CMC and its social implications. “Channel,” “community,” and “network” are used as working labels to designate these paradigms. Three main components are examined within each paradigm: the specific technological systems of computer mediation at its heart; the typical applications, organizational arrangements, and user activities that have grown around these respective technologies; and, finally, the key constructs, approaches, and heuristics that have guided academic analysts in asking questions, conducting studies, and producing findings.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.641
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.294
Teacher spread0.276 · 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
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

Citations6
Published2016
Admission routes1
Has abstractyes

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