Bibliographic record
Abstract
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 géomatique est un domaine très actif des sciences appliquées et du génie qui s'occupe de l'information géospatiale et spatio-temporelle à multi-résolution pour divers genres d'applications scientifiques, de génie et administratives.Les communications en évolution rapide et les technologies High Performance Computing (HPC) (à haut débit) ont entraîné des changements fondamentaux dans la manipulation de l'information géospatiale et l'information connexe.Ainsi, de nouvelles connaissances et expertise spécialisées sont attendues et raffinées dans le milieu de travail.La cyber-infrastructure fait référence aux nouveaux environnements virtuels dans lesquels les services de traitement et de gestion avancés de données sont accessibles par l'en tremise de réseaux de communications à rendement élevé, surtout pour des fins de recherche, de développe ment et de formation en collaboration.Il est très probable que les nouvelles tendances transformeront la Harold Esche collectivité en permettant aux scientifiques, chercheurs, étudiants et praticiens de partager les mêmes données, esche@ucalgary.caoutils, procédures et expertise en travaillant avec les renseignements géospatiaux et l'information connexe.On discute des possibilités excitantes comme des observatoires et milieux de travail virtuels et on donne des exemples pour illustrer certaines répercussions de grande portée non seulement pour les utilisateurs du domaine de la géomatique, mais pour la société dans son ensemble.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.015 |
| Scholarly communication | 0.008 | 0.015 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".