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Record W4243159296 · doi:10.18080/jtde.v5n1.87

30 Years After Launch

2017· article· en· W4243159296 on OpenAlexaboutno aff
Ian Campbell

Bibliographic record

VenueJournal of Telecommunications and the Digital Economy · 2017
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsTelecommunicationsService (business)Mobile serviceCompetition (biology)Enhanced Telecom Operations MapMobile telephonyBusinessTelecommunications serviceEngineeringService providerMarketingMobile radio

Abstract

fetched live from OpenAlex

This year is the 30th anniversary of Telecom Australia's launch of the cellular mobile service in Australia. There has been a huge evolution in mobile services since then.The Postmaster-General's Department (PMG) introduced a manually (operator) connected mobile service in Australia in 1950. As this service approached full capacity, Telecom launched a Public Automatic Mobile Telephone Service (PAMTS) in 1981. The PAMTS service had no future technology evolution, a 12 year life, and reached a peak of 14,000 customers.By 1985 a small engineering team had developed a cellular mobile service concept based on the Analogue Mobile Phone Service (AMPS ) standard. Development was accelerated and refined and the service was launched in 1987, arguably two and perhaps three years late.This is the story of the development and launch of the service and the growth over the first four years to 1991.Noting the experience of cellular operators in the USA, Canada and the UK, Telecom's mobile service concept was a "gold standard" for cellular services around the world, and the service achieved one of the fastest growth rates in its early years.Within four years it was a cash flow powerhouse, and one of only three services within Telecom that were profitable; the others were the basic telephone service and directory publishing.When transferred to Telstra in 1992 it was a strategically strong, highly profitable business prepared to defend against competition being introduced into the Australian telecommunications market, and was a foundation of Telstra's financial strength for the next 30 years.

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)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.358
Threshold uncertainty score0.916

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0060.002
Scholarly communication0.0110.008
Open science0.0020.010
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.3580.294

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 head0.227
Teacher spread0.218 · 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.

Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2017
Admission routes1
Has abstractyes

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