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Record W350562542 · doi:10.57054/amr.v16i2.5203

Internet and Development in Senegal: Towards New Forms of Use

2008· article· en· W350562542 on OpenAlexaboutno aff
Christian Agbobli

Bibliographic record

VenueAfrica Media Review · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicInformation Society and Technology Trends
Canadian institutionsnot available
Fundersnot available
KeywordsThe InternetAppropriationContext (archaeology)Element (criminal law)Internet accessPublic relationsBusinessPolitical scienceEconomic growthComputer scienceWorld Wide WebEconomicsLawGeography

Abstract

fetched live from OpenAlex

This article addresses forms of Internet use within the framework of a developmentproject. Through use of a case study of four telecentres set up by the Acaciainitiative of Canada’s International Development Research Centre (IDRC), thearticle presents the theoretical claims of Internet use for development anddetermines the impact of the Internet on members of Senegalese economic andpopular organisations. In this sense, the telecentre project reflects the tendencyof international development to regard the Internet as a new and efficient strategy.However, the article asserts that only concrete uses demonstrate the role of theInternet in development. Traditional Internet uses – electronic mail and navigation– do appear. However, the results show a broader dimension of use that includesthe appropriation of the telecentre itself and they advance the recognition ofthe presence of traditional communication as a complimentary element to Internetuse. The article concludes that the local context and culture must be integratedinto Internet use as a development strategy.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.013
Science and technology studies0.0030.009
Scholarly communication0.0080.010
Open science0.0010.005
Research integrity0.0010.001
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 head0.119
GPT teacher head0.306
Teacher spread0.186 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2008
Admission routes1
Has abstractyes

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Same venueAfrica Media ReviewSame topicInformation Society and Technology TrendsFrench-language works237,207