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Record W150751362 · doi:10.11575/prism/28781

Geomatics and the New Cyber-infrastructure

2008· article· en· W150751362 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePRISM (University of Calgary) · 2008
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Modeling and Analysis
Canadian institutionsUniversity of Calgary
FundersNatural Resources CanadaU.S. Department of Homeland Security
KeywordsGeomaticsGeographyCartographyRegional scienceData scienceComputer science

Abstract

fetched live from OpenAlex

Geomatics is a very active field of applied science and engineering which deals with multi-resolution geospatial and spatio-temporal information for all kinds of scientific, engineering and administrative appli cations.Rapidly changing communication and High Performance Computing (HPC) technologies have brought about fundamental changes in the handling of geospatial and related information.As a result, new specialized knowledge and expertise are expected and refined in the workplace.Cyber-infrastructure refers to the new virtual environments in which advanced data processing and management services are accessi ble through high-performance communication networks, primarily for collaborative research, development and instructional purposes.These new trends are very likely to transform the community by bringing scien tists, researchers, students and practitioners to share the same data, tools, procedures and expertise when dealing with geospatial and related information.Such exciting possibilities as virtual observatories and J.A. Rod Blais workplaces are discussed, with examples to illustrate some of the far-reaching implications for not only blais@ucalgary.causers in Geomatics, but society in general. La gomatique est un domaine trs actif des sciences appliques et du gnie qui s'occupe de l'information gospatiale et spatio-temporelle multi-rsolution pour divers genres d'applications scientifiques, de gnie et administratives. Les communications en volution rapide et les technologies High Performance Computing (HPC) ( haut dbit) ont entran des changements fondamentaux dans la manipulation de l'information gospatiale et l'information connexe. Ainsi, de nouvelles connaissances et expertise spcialises sont attendues et raffines dans le milieu de travail. La cyber-infrastructure fait rfrence aux nouveaux environnements virtuels dans lesquels les services de traitement et de gestion avancs de donnes sont accessibles par l'en tremise de rseaux de communications rendement lev, surtout pour des fins de recherche, de dveloppe ment et de formation en collaboration. Il est trs probable que les nouvelles tendances transformeront laHarold Esche collectivit en permettant aux scientifiques, chercheurs, tudiants et praticiens de partager les mmes donnes, esche@ucalgary.caoutils, procdures et expertise en travaillant avec les renseignements gospatiaux et l'information connexe.On discute des possibilits excitantes comme des observatoires et milieux de travail virtuels et on donne des exemples pour illustrer certaines rpercussions de grande porte non seulement pour les utilisateurs du domaine de la gomatique, mais pour la socit dans son ensemble.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score1.000

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.155
Teacher spread0.147 · 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