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The Economic Impact of Information and Communication Technologies (ICTs) on Microenterprises in the Context of Development

2010· article· en· W1902430031 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Electronic Journal of Information Systems in Developing Countries · 2010
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsLandlineInformation and Communications TechnologyICTSBusinessContext (archaeology)Sample (material)The InternetElectronic businessMarketingMicrofinanceEntrepreneurshipEconomic growthBusiness modelEconomicsPolitical sciencePhoneGeographyComputer science

Abstract

fetched live from OpenAlex

Abstract This paper investigates the impact of information and communication technologies, especially landline and mobile phones, computers, and Internet cafés in facilitating economic growth in the developing world. Data on access to ICTs, as well as business‐relevant behaviors and attitudes, was collected by a multi‐stage probability sample of women microentrepreneurs in Mumbai, India. Main findings include evidence that in urban microenterprises owned by women, business growth is a function of ICT access and is related to motivation to use ICTs for business purposes; and that the more positive a woman microentrepreneur feels about her status and power because of her business, the more she will be motivated to use ICTs in support of her business. Implications for the study of digital divides and strategies for studies of communication and technology more generally are considered.

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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.435
Threshold uncertainty score0.202

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.005
GPT teacher head0.230
Teacher spread0.225 · 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