Location-Based Applications Using Analog Maps for Sustainable Local Tourism Information Services
Bibliographic record
Abstract
Conventional paper-based tourist maps are still created and provided by many local tourism organizations, as they have advantages in representing highly detailed and contextual information, although the static medium limits the functions of such maps. To benefit these analog maps from location-aware environments, interactivity, and data feedback from mobile devices, a sustainable ecosystem for local tourist maps is proposed. A low-cost solution for developing mobile tourism applications by providing tools to georeference analog maps and integrate multimedia sightseeing information owned by local tourism organizations is implemented. The processes for analog map georeferencing and content integration, as well as the design principles for mobile tourism applications, are introduced and discussed in detail. In cooperation with college students, university campuses, and local tourism organizations, experimental applications were implemented to evaluate the functionality and usability of the proposed mobile mapping application and the feasibility of the proposed solution. Two published applications are introduced briefly, with preliminary analyses using data donated by application users, which have shown positive contributions to understanding users' behavior and requirements.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.007 |
| Open science | 0.001 | 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".