MétaCan
Menu
Back to cohort
Record W4386860021 · doi:10.1177/1329878x231202271

Introduction: telecommunications revolution? Enduring problems and possible futures

2023· article· en· W4386860021 on OpenAlexaff
James Meese, Catherine A. Middleton, Fan Yang, Kieran Hegarty, Rowan Wilken

Bibliographic record

VenueMedia International Australia · 2023
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsToronto Metropolitan University
FundersAustralian Research Council
KeywordsVisionFutures contractTelecommunicationsFutures studiesState (computer science)Political sciencePublishingSociologyEconomicsEngineeringLawComputer scienceFinance

Abstract

fetched live from OpenAlex

The ongoing tension between the enduring problems that beset the telecommunications sector, and the potential economic and social benefits continually associated with these technologies is the point of departure for our Feature Topic, which reflects on the current state of telecommunications, while also casting a cautious eye forward. The articles in this Feature Topic outline ongoing challenges around connectivity as well as contestations over 5G rollouts and competing international visions. However, the articles are not solely defined by critique, and authors also take time to articulate a positive future for telecommunications, one more oriented towards the actual needs of citizens. Australia features prominently in these articles, but the section also offers a global perspective, with authors accounting for the Global South as well as developments across the Asia-Pacific.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.025
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.005
Scholarly communication0.0090.009
Open science0.0010.002
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.0250.005

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 head0.035
GPT teacher head0.283
Teacher spread0.248 · 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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueMedia International AustraliaSame topicICT Impact and PoliciesFrench-language works237,207