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Record W2017552130 · doi:10.1109/mspec.2014.6776307

911 for the 21st Century

2014· article· en· W2017552130 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIEEE Spectrum · 2014
Typearticle
Languageen
FieldComputer Science
TopicMobile and Web Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPacePhoneTelecommunicationsHappeningBaudThe InternetEngineeringComputer securityWork (physics)Computer scienceInternet privacyHistoryWorld Wide WebGeography

Abstract

fetched live from OpenAlex

No matter how smart your phone may be, your Mayday call likely relies on an ancient 2400- baud modem to tell emergency responders what they most need to know your location. And as phone technology advances, the problem is getting worse. · An elementary school in Illinois found this out the hard way when a school official called 911 to report that two kindergartners had wandered off. The call went to an emergency communications center in Canada, delaying the response by several minutes. The children were eventually found, but the delay could have made a deadly difference in other circumstances. · Engineers have installed a patchwork of updates to try to keep pace with calling technology, but they've reached their limit. It's time to rebuild the system from the ground up-and that's exactly what's happening in the United States and in many other places around the world. The author discusses how to make emergency services work with wireless and Internet distress calls.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.993
Threshold uncertainty score0.220

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 integrity0.0000.000
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 head0.011
GPT teacher head0.235
Teacher spread0.224 · 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