MétaCan
Menu
Back to cohort
Record W2322828552 · doi:10.1177/0169796x14536970

Overcoming the Digital Divide in Developing Countries

2014· article· en· W2322828552 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Developing Societies · 2014
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsUnderdevelopmentDigital divideInformation and Communications TechnologyDeveloping countryGovernment (linguistics)AccountabilityThe InternetLanguage changeBusinessICTSEconomic growthPublic relationsService delivery frameworkPublic sectorService (business)Political scienceEconomicsMarketingComputer science

Abstract

fetched live from OpenAlex

The emergence of information communication technologies (ICTs) in developing countries has been hailed as a major step toward a solution to the problem of the underdevelopment of many of them. Obstacles such as corruption, delays in service delivery, lack of public sector accountability, and so on can many believe be overcome with ICT: particularly, the Internet and cell or mobile phones. Consequently, governments in these countries continue to expend a lot of their meager resources on ensuring the effective development and use of ICTs. In spite of this, a major problem that these countries face is what has been described as the digital divide. The purpose of this article is, therefore, to examine the government’s attempt to address this problem including how the problem has been defined, the steps that are being taken to heal it, the implied challenges, if any, facing the government, and how it can address these challenges.

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.

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: Empirical
Teacher disagreement score0.643
Threshold uncertainty score0.392

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 communication0.0000.000
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 head0.012
GPT teacher head0.237
Teacher spread0.224 · 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