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Record W4230089246 · doi:10.12797/9788381386739.05

Wdrożenie sieci 5G jako warunek rozwoju europejskich inteligentnych miast

2021· book-chapter· en· W4230089246 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.

fundA Canadian funder is recorded on the work.
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

VenueKsiegarnia Akademicka Publishing eBooks · 2021
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicPolish socio-economic development
Canadian institutionsnot available
FundersUniversity of HaifaYork University
KeywordsBusinessSoftware deploymentTelecommunicationsInvestment (military)Digital transformationPreconditionComputer securityIndustrial organizationComputer sciencePolitical scienceWorld Wide Web

Abstract

fetched live from OpenAlex

One of the goals of Europe’s digital transformation is to improve the quality of life in European cities by making these cities smarter. This is possible due to the rapid technological development of the electronic communication sector and the introduction of 5G mobile networks and services. However, this requires huge investments in infrastructure and new technologies. The regulatory measures provided in the European Electronic Communications Code (no access obligations for wholesale-only operators and the co-investment mechanism) to promote infrastructure investments do not ensure the optimal regulatory environment for the deployment of 5G, which is a precondition for the emergence of smart cities.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.655
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0040.002
Open science0.0030.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.007

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 head0.053
GPT teacher head0.207
Teacher spread0.154 · 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