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Record W2071469520 · doi:10.1080/0268396032000150825

What if there is No Killer Application? An Exploration of a User-Centric Perspective on Broadband

2003· article· en· W2071469520 on OpenAlex
Catherine A. Middleton

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 Information Technology · 2003
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsBroadbandBroadband networksPerspective (graphical)TelecommunicationsComputer scienceKnowledge managementBusiness

Abstract

fetched live from OpenAlex

This paper explores user and provider experiences with broadband networks. Drawing on data from an early broadband trial and from recent studies of consumer broadband usage, the validity of the commonly held view that widespread adoption of broadband is dependent upon the development of a killer application is challenged. It is argued that access to broadband can be valuable for users without the provision of a killer application and that the dynamics of broadband development are shifting. As more users become content creators and distributors and as it becomes easier for consumers to establish broadband networks without help from traditional providers, the existing relationships within the broadband industry will change. Broadband researchers and stakeholders in the development of broadband networks are encouraged to explore and understand the implications of these changes, recognizing that there is much to be learned about deploying broadband in ways that will create the broad societal benefits promised by its promoters.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.614
Threshold uncertainty score0.279

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.004
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 head0.009
GPT teacher head0.251
Teacher spread0.242 · 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