Bibliographic record
Abstract
The Canadian Institute of Geomatics, which has as its prime objective the advance and development of geomatic sciences in Canada, defines geomatics in general terms as: ... a field of activities which, using a systematic approach, integrates all the means used to acquire and manage spatial data required as part of scientific, administrative, legal and technical operations involved in the process of the production and management of spatial information. The Institute, therefore, claims that geomatics is a field of activities, which involves the acquisition and management of spatial information. The means that the field uses to acquire and manage spatial data are not specified, but the definition places its purview firmly in the spatial arena. There is also a sense, in the phrase scientific, administrative, legal and technical operations that the range of applications may be limited to the scientific and technical spheres. This focus on science and technology, and the sense of a range of applications limited to the physical sphere, is reiterated by Geomatics Canada: Geomatics is the science and technology of gathering, analyzing, interpreting, distributing and using geographic information. Geomatics encompasses a broad range of disciplines that can be brought together to create a detailed but understandable picture of the physical world and our place in it. Geomatics Canada lists the disciplines, or branches of instruction, that are brought together as: surveying and mapping, remote sensing, geographic information systems (GIS), and global positioning systems (GPS). The physical world is defined as embracing: the environment, land management and reform, development planning, infrastructure management, natural resource monitoring and development, and coastal zone management and mapping. Thus, geomatics includes: long-standing disciplines such as surveying and mapping, presumably along with geodesy; and, more recent interests such as remote sensing (which would include the more traditional photogrammetry), geographic information systems (or science), and new techniques in OPS (which lies broadly at the intellectual intersection of geodesy and navigation). Two features that each of these disciplines have in common are that: they are concerned with information that has spatial properties and can therefore be geo-referenced in some way, usually with global coordinates (latitude and longitude); and, their utility has undergone a renaissance since 1990 (Figure 1) due to the rapid development of computing and visualisation technologies (usually through stand-alone or networked PCs). Thus, disciplines that were once the interest of a mathematically and technically oriented few are now more accessible. With this greater accessibility, applications have become more widespread. Nowhere is this more evident than with GIS, as is indicated in Figure 1 concerning the growth of ESRI (one of the largest developers and distributors of GIS software) users worldwide. A geographic information system involves an organised integration of hardware, software, geo-referenced digital information, and visualisation technologies, to capture, store (usually in the form of relational databases), up-date, manipulate, analyse, and display (in 2D or 3D form) all forms of spatial information. Though most uses of GIS through-out the world are fairly routine -- the most common being for land registry systems and mapping -there is increasing emphasis on its application in strategic planning and decision-making (Goodchild 2000). The GEOIDE Network Hence, the focus of Canada's GEOIDE network is on the use of geomatics to inform decision-making. The GEOIDE initiative, headquartered at Universite Laval, was founded in 1998 with funding from the Federal Networks of Centres of Excellence (NCE) programme ($3 million per year) along with a number of public (Federal and Provincial) and private sector partners ($0. …
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.
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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.021 |
| Science and technology studies | 0.008 | 0.022 |
| Scholarly communication | 0.031 | 0.020 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.038 | 0.007 |
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.
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".