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Taxonomy for Outside Plant Construction in Telecommunication Infrastructure: Supporting Knowledge-Based Virtual Teaming

2005· article· en· W2072208350 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

VenueJournal of Infrastructure Systems · 2005
Typearticle
Languageen
FieldComputer Science
TopicService-Oriented Architecture and Web Services
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTaxonomy (biology)Computer scienceKnowledge managementSemantic WebInformation exchangeProcess managementEngineering managementSystems engineeringEngineeringWorld Wide WebTelecommunications

Abstract

fetched live from OpenAlex

With the expected volume of rehabilitation work in telecommunication infrastructures, there is a need to establish a means of supporting the exchange of project information in a semantic way. Semantic Web techniques provide superb tools for the exchange of relevant project information. It also supports the creation of more advanced supply chains and the establishment of proper knowledge management tools. This paper presents a taxonomy for outside plant construction. It includes a description of related processes, actors, products, resources, and technical concepts. The taxonomy was developed as an extension of the e-COGNOS taxonomy, and was validated through interviews with industry experts. Relevant terms from inside plant construction were also included in the taxonomy. This paper also presents an outline for the future use of the proposed taxonomy, that of supporting corporate memory initiatives—including a prototypical implementation of the formation of virtual teams.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.574
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.011
GPT teacher head0.246
Teacher spread0.235 · 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