MétaCan
Menu
← Back to cohort
Record W3203562909

Mobile Communications and National Broadband Strategies: Perspectives, Issues, Challenges and Lessons (Panel)

2014· article· en· W3203562909 on OpenAlexaffabout
Prabir K. Neogi

Bibliographic record

VenueSSRN Electronic Journal · 2014
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsCarleton University
Fundersnot available
KeywordsMobile broadbandTelecommunicationsMobile phoneInternet accessMobile technologyMobile WebMobile paymentMobile telephonyMobile business developmentBusinessThe InternetMobile deviceMobile computingWirelessEngineeringComputer scienceWorld Wide WebMobile radio
DOInot available

Abstract

fetched live from OpenAlex

“Every day we are moving closer to having almost as many mobile subscriptions as people on earth…The mobile revolution is m-powering people in developing countries by delivering ICT applications in education, health, government, banking, environment and business. Let us all celebrate this mobile miracle…” Brahima Sanou, Director, ITU Telecommunications Bureau, “The World in 2013: ICT Facts and Figures.” The use of the increasingly intelligent mobile phone has exploded over the last decade. It has become the most widely used communications device in the world, and the access device of choice in the developing world. The ITU estimates that there were some 6.8 billion mobile service subscriptions by the end of 2013, corresponding to a global population of 7.1 billion. Mobile penetration rates stand at 96% globally, 128% in developed and 89% in developing countries. ITU estimates indicate that mobile broadband subscriptions increased from 268 million in 2007 to 2.1 billion in 2013, an average annual growth rate of 40%. There are now more than twice as many mobile broadband subscriptions as fixed ones. Spectrum is the lifeblood of wireless mobile communications services. As high-speed mobile Internet access becomes more readily available and affordable, the cell phone and other more intelligent mobile devices with greater functionalities (e.g. smartphones, tablet computers, laptops) are widely being used for bandwidth-hungry business applications as well as for personal and social purposes. Therefore the demand for additional spectrum bandwidth is likely to increase rapidly and outstrip its supply for the next few years. Ubiquitous wireline and wireless broadband infrastructure deployment is the great infrastructure challenge of the early 21st century. Mobile broadband communications requires an integration of wireless and wireline networks. Governments have a key role to play in efficiently allocating and managing the use of the spectrum and meeting the demand for additional spectrum bandwidth. Issues and challenges related to the efficient allocation and management of the spectrum will therefore become an important component of any national broadband strategy. This international panel will focus on the impact of the widespread penetration and use of the cell phone and other more intelligent mobile devices, in both developing and developed countries. It will examine and compare the role that wireless access and mobile broadband play in various national and regional broadband strategies; and how mobile communications is integrated with the wireline component of such strategies. The panelists will discuss strategies being used in the US, Australia, the EU, Mexico and India, among others. We wish to find out what has worked, what did not, the problems encountered and whether there are lessons to be learned that are of general applicability, as well as for particular countries. An overall lesson seems to be “One size does not fit all”. This is a topic of continuing interest to the TPRC community. We wish to explore the possibilities and limitations of learning from other nations’ and regions’ experiences. A dialogue between the policymakers and researchers could help to identify current and future policy issues which will require further research work. Possible Panelists: Dr. Robert D. Atkinson, President, The Information Technology & Innovation Foundation (ITIF), Washington Prof. Rekha Jain, Professor, Indian Institute of Management, Ahmedabad (IIMA) and Executive Chair of the IIMA-IDEA Telecom Centre of Excellence (IITCOE) Prof. Judith Mariscal, Professor, Centro de Investigacion y Docencia Economica (CIDE), Director of the Telecommunications Research Program Telecom-CIDE, and member of the Steering Committee of DIRSI Prof. Catherine Middleton, Professor, Ted Rogers School of Information Technology Management, Ryerson University, Toronto Dr. Jean-Paul Simon, Director, JPS Public Policy Consulting and member EuroCPR Board

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)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.028
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0040.003
Scholarly communication0.0120.016
Open science0.0020.004
Research integrity0.0170.012
Insufficient payload (model declined to judge)0.0280.007

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 head0.025
GPT teacher head0.290
Teacher spread0.265 · 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 designNot applicable
Domainnot available
GenreCommentary

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 routes2
Has abstractyes

Explore more

Same venueSSRN Electronic Journal→Same topicICT Impact and Policies→French-language works237,207→