ISPRS SIPT Web-based multimedia cartography applied to the historical evolution of Iqaluit,
Bibliographic record
Abstract
Technologies advances are changing the way maps are created and displayed. Especially, digital and Web-based multimedia cartography are bringing maps outside the main stream flow by giving a new life to archive data such as old paper maps and photographs. Historical Cartography is a way of building bridges between the past, the present and the future. This is the main purpose of ‘The Historical Evolution of Iqaluit ’ Mapping Project. Its main objective is to develop an electronic interactive map of Iqaluit, the booming capital city of the new territory of Nunavut in Northern Canada. By using graphic interfaces and interactive navigation tools, the user is able to visually reconstruct spatio-temporal changes in the city over the last 50 years (1948-1998). The viewer can intuitively perceive transformation of the city through orthomosaics, pictures, maps and 3D animation. Such a cartographic product may serve many purposes including culture, tourism, education, and also city planning and development. Understanding the development of the town over time is valuable for education of youth and interesting for city visitors and tourists. Finally, understanding the spatial and historical development of the city is also important for decision-support, especially for city planning and development purposes.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.069 | 0.012 |
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".