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Record W2163635869 · doi:10.1193/022213eqs046m

Telecommunication Systems’ Performance: Christchurch Earthquakes

2014· article· en· W2163635869 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

VenueEarthquake Spectra · 2014
Typearticle
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsAmgen (Canada)
Fundersnot available
KeywordsLandlineTelecommunicationsEngineeringComputer sciencePhone

Abstract

fetched live from OpenAlex

Telecommunication systems generally performed better than other lifelines in the Christchurch‐area earthquake sequence of 2010–2011; however, various service interruptions were a major concern for subscribers. Power disruption was the primary reason for service interruption in Christchurch, as has been similarly observed in many other major earthquakes around the world. Extensive ground failures impacted underground cabling, while Central Offices (COs) sustained minor damage due to strong shaking. Closure of the Central Business District and increased call volumes created additional strain on telecommunication service providers to deal with emergency response. This paper presents the findings of the post‐earthquake lifeline performance investigations of both the landline network and the cellular network. Voice and data services of these networks are examined and commented based on the findings. The authors’ view of rendering the telecommunication systems more resilient is presented (Eidinger and Tang 2014).

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.672
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.017
GPT teacher head0.245
Teacher spread0.229 · 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