IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE
Bibliographic record
Abstract
Aboriginal rights are a key issue affecting resource development in Canada on Aboriginal lands. However, searching for land related information can be very time consuming and incomplete, particularly in remote Aboriginal areas. There is a need for an on-line system providing integrated information about land and its resources, such as natural resources, topography, existing infrastructures, statutory requirements and the regulations that might apply to various developments on the land. The goal of this research is to explore the role of new and emerging technologies, specifically GIS and Internet technologies, for resource management, and thereby develop a web GIS prototype to assist the resource development and management process involving Aboriginal communities. The research started by reviewing the use of web GIS by Aboriginal communities, governmental agencies and the private sector for aboriginal resource management. It then reviewed the current trends of web GIS technologies. This included a comparison of two commercial software ESRI ArcIMS and Intergraph Geomedia Webmap. ESRI ArcIMS was chosen to develop the prototype because of its easy maintenance and customization. In this research, the Yukon Territory, comprising 14 First Nations, was selected as the study area. Data for the Yukon First Nations was collected, edited, processed. A database was then designed and populated, and a web GIS prototype was developed. In the prototype implementation, an interactive users ’ interface was designed and developed. ArcIMS was customized to set up and enhance the website functions. Hyperlinks on the spatial layer were created, a mechanism for restricting access to the website was examined, and various advanced queries using ArcXML were developed and tested. Furthermore, a methodology, using combined vector and raster analysis, was developed to deal efficiently with multi-layer overlay analysis. iii
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 | 0.009 | 0.032 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.019 | 0.003 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.007 | 0.003 |
| Insufficient payload (model declined to judge) | 0.871 | 0.817 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".