Bibliographic record
Abstract
System Summary In 1998, the municipality of Chatham-Kent was formed by the amalgamation of 23 independent communities with a mandate from the provincial government of Ontario to cut costs and streamline local government procedures. The municipality is largely rural and comprises an area of approximately 2,500 square kilometers that includes several small towns interspersed between large areas of agricultural land. The population of the municipality is approximately 110,000, with 40 percent living in the city of Chatham. The enterprise geographic information system (GIS) implementation at Chatham-Kent was established to serve the business interests of all municipal employees, clients, customers, and the various external consultants that Chatham-Kent utilizes. For this reason, the GIS system was designed around the common theme of open access. Municipal staff with very little knowledge of GIS, spatial concepts, or GIS applications required tools that were readily accessible and relatively easy to use. Internal staff now have full access to the data warehouse via current Web browser technology; furthermore, external GIS clients, such as contractors and consultants, can gain access to the GIS through a secure network connection. This, again, is a time and cost savings to consultants and ultimately the savings will be passed on to the organization and to its taxpayers. Chatham-Kent has found that the initial phases of enterprise-wide GIS implementation have benefited the organization in profound ways. Staff members now go to the GIS application first for common questions that would otherwise take much more time to answer. As an added bonus, the enterprise GIS also feeds data from the warehouse to Chatham-Kent's community Web portal that has incorporated most of the GIS functionality that exists in the internal system. Now the general public and people around the globe can explore the wealth of data and information that was never before available by visiting http://www.chathamkent.ca. Motivation for System Development The corporation of the municipality of Chatham-Kent, operating under a single-tier government system, was created in 1998 from the amalgamation of 23 urban, semirural, and rural communities; 13 public-utility companies; and 5 police forces. With the amalgamation, the municipality was required to provide many services, including public health, social services, water, hydro and wastewater services, emergency services, economic development, libraries, culture, and recreation. In executing its mandate, the municipality continues to seek innovative and effective means of applying technology to improve its operational and planning capabilities. From the outset of the amalgamation, the Amalgamation Transition Board recommended that the municipality of Chatham-Kent further investigate a GIS initiative. Following this recommendation, the municipality initiated a strategic plan and later the framework for an AM/FM system to manage the infrastructure assets of the amalgamated municipality. The overall vision then, as developed, foresaw an AM/FM project proceeding primarily with the Public Utilities Commission and the Municipal Engineering department. A GIS project would follow and benefit from the progress of the AM/FM project. The GIS would involve other municipal departments, such as Planning, Public Works, and Economic Development, and would eventually be the storehouse for all land data for all departments within the municipality. Following the success of the AM/FM implementation, a strategic plan for enterprise GIS was initiated. System Benefits Achieved The municipality of Chatham-Kent has won two Gold Awards from the Urban and Regional Information Systems Association (URISA), Ontario Chapter. Chatham-Kent has the Best Municipal Geographic Information System (GIS)and the Best Web--Geographic Information System (GIS). Both awards are presented annually to organizations that demonstrate clear leadership and quality in the management of spatial data. …
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".