Digital reactivation of territories through geospatial cultural itineraries: the VIDA-HTL web application
Bibliographic record
Abstract
Abstract The significant imbalances between human settlements and their surrounding environments, stemming from sector-specific policies and urban regional planning tools, constitute a primary factor in the resilience and responsiveness of territories in crisis scenarios. Within this context, the promotion of territorial heritage values emerges as a crucial means for the reactivation of vulnerable areas. Furthermore, the utilisation of technological resources, such as Geographic Information Systems (GIS), has proven to be highly effective in managing cultural landscape areas. This contribution aims to enhance the valorisation of territorial heritage through the geolocation of a system of architectural and archaeological assets of public interest, and by enabling the flexible design of cultural itineraries within the framework of slow tourism. For this purpose, a replicable methodology for the construction of a WebGIS application has been proposed. This methodology has been put into practice in the territorial area of the lower Guadalquivir River in Spain, which encompasses 73 municipalities and one UNESCO World Heritage Site, all interconnected by rural areas. A four-stage plan has been followed for the construction of the VIDA-HTL web application: (1) conceptualisation; (2) development; (3) technical verification; and (4) social viability. The fundamental approach of the web application is based on the comprehensive integration of subsystems related to cultural heritage on one hand, and to tourist and environmental services on the other. Two main functions for the exploration of cultural assets and designing cultural routes have been designed, which complement other capabilities implemented in the web application. As a result of a detailed standardisation process, 981 cultural assets and 43 supplementary data layers have been georeferenced and included in the web application, with customised itineraries available for planning within the study area. Additionally, 49 thematic cultural itineraries are proposed. Finally, the web application is complemented with the development of a collaborative hub, which encourages its use and enhances its capabilities. It is concluded that digital tools, such as that proposed, foster knowledge and valorisation of territorial cultural heritage, while contributing to greater local development. In this way, they function as a counterbalance to the development of metropolises and the global economy, thereby improving levels of regional resilience.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".