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Record W2485382866 · doi:10.1057/9781137273352_6

The Wider Global Picture

2013· book-chapter· en· W2485382866 on OpenAlexaboutno aff
Michael Starks

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2013
Typebook-chapter
Languageen
FieldEngineering
TopicTelecommunications and Broadcasting Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsChinaGeographyBroadcasting (networking)TelecommunicationsCompetition (biology)Political scienceEconomyInternational tradeBusinessComputer scienceEconomicsComputer security

Abstract

fetched live from OpenAlex

In contrast to Europe’s digital switchovers coordinated around the ITU Region 1 deadline of 2015, the rest of the world is making the transition over a much more protracted period. In ITU Regions 2 and 3 the advanced economies of Canada, Japan, South Korea, Taiwan, Australia and New Zealand have completed, or will complete, their transitions in parallel with the Region 1 timetable. China and India, for different reasons, have both concentrated in the first instance on digitising their cable TV infrastructure. For countries which are still at a relatively early stage in the process a major issue has been the choice of technical standards, with competition between the American ATSC, the European DVB, the Japanese ISDB (Integrated Services Digital Broadcasting), the Chinese DTMB (Digital Terrestrial Multi-media Broadcasting) and a Brazilian variant of Japanese technology, SBTVD-T. A pattern of regional groupings has emerged: South-East Asia, Australasia and Africa have broadly adopted the DVB standard while South American countries have coalesced around Brazil’s SBTVD-T. Central America and the Caribbean countries are being tugged in different directions.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.989
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.208
Teacher spread0.195 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2013
Admission routes1
Has abstractyes

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