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Record W2005025237 · doi:10.1504/ijams.2013.051637

Quantitative predictive capacity of human development index in wireless telephony operations

2013· article· en· W2005025237 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

VenueInternational Journal of Applied Management Science · 2013
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsHuman Development IndexPer capitaLandlineTelecommunicationsMobile telephonyWirelessTelephonyProxy (statistics)Index (typography)BusinessComputer scienceEconomicsEconomic growthHuman development (humanity)Mobile radio

Abstract

fetched live from OpenAlex

The present study explores effects of human development (as measured by the human development index, or HDI) on the wireless telephony operations. The novelty and contributions of the paper are: 1 HDI, as a proxy for human development, can be a predictor for analysing and forecasting wireless telephony use per capita 2 the predictive capacity of HDI on wireless telephony expansion is found to be more than that of pure monetary indicators such as GDP per capita 3 a lower density of fixed lines per capita is not associated with a higher mobile use per capita. The findings can be used both in academia for informing students about factors influencing mobile use, and in industry for analysis and decision making in companies in telecommunication sector as well as companies that rely on telecommunication technologies in their operations.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.704
Threshold uncertainty score0.282

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 communication0.0000.000
Open science0.0010.000
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 head0.016
GPT teacher head0.268
Teacher spread0.252 · 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