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Record W7140281681 · doi:10.65301/ijcd.2014.4.2.3.10

Exegesis of Digital Divide in Communication

2014· article· W7140281681 on OpenAlexaff
Dr. Shikha Gupta

Bibliographic record

VenueInternational Journal of Communication Development · 2014
Typearticle
Language
FieldSocial Sciences
TopicMedia, Communication, and Education
Canadian institutionsInnovation Cluster (Canada)
Fundersnot available
KeywordsDigital divideMeaning (existential)Communication studiesOntologyPower (physics)Process (computing)Communication theory

Abstract

fetched live from OpenAlex

Digital communication is undoubtedly regarded as a revolutionized communication which has transformed the not just the ontology but the epistemology of communication and its process as a whole. It should also be noted that the digital communication has created gaps in the communication process which has a discernible impact on the society. Having said that the impact of technology on communication can neither be undermined nor overlooked; rather its potential can be attempted to be used in the best of its possibilities. To do that it is imperative to understand the hindrances in its way. This brings us to the discourse of digital divide. The word communication is derived from the Latin words, “communis” and “communicare”. “Communis” means sharing, can be of views, ideas, thoughts and happenings; while “communicare” means make something common. With these inferences, digital communication can be defined as ‘sharing of common views or ideas in a digital form’. The above understanding of digital communication becomes the genesis of the discourse as digital communication gets restricted only to its users. Against this backdrop, the study attempts to analyze the undermining of the semantic understandings of the epistemology of communication and how it has deviated from its basic meaning to accept the new paradigms, which fortunately or unfortunately nurtures a power inequality and creates a divide between information “haves” and “have-nots” on local, national and international levels.

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)0.006
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.629
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0050.001
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 head0.034
GPT teacher head0.338
Teacher spread0.303 · 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 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

Citations0
Published2014
Admission routes1
Has abstractyes

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