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Record W2148537859 · doi:10.1162/inov_a_00217

Local Content, Smartphones, and Digital Inclusion

2014· article· en· W2148537859 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

VenueInnovations Technology Governance Globalization · 2014
Typearticle
Languageen
FieldComputer Science
TopicICT in Developing Communities
Canadian institutionsFuture Earth
Fundersnot available
KeywordsThe InternetInternet privacyKey (lock)BusinessInternet accessInclusion (mineral)Mobile internetAsk priceComputer scienceAdvertisingWorld Wide WebComputer securitySociology

Abstract

fetched live from OpenAlex

events of this century. Mobile phones will be the primary way these people come online. This change is already unfolding rapidly and generating worldwide excitement, as mobile phones begin to play their part in improving social and economic outcomes around the world. But now is the time to ask, what kind of Internet do we need to build to unlock these social and economic opportunities for people in emerging markets? Even if we solve key issues like access, affordability, and efficiency, what will the next billion Internet users find when they get online? Will it interest them? Will it improve their lives? Will they be able to help shape the Internet to ensure that it does?

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.918
Threshold uncertainty score0.557

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.002
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 head0.220
Teacher spread0.208 · 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