Engaging Communities in Built Heritage Conservation: Insights and Challenges
Bibliographic record
Abstract
This research is focused on the critical role of the community in the conservation of built heritage and the lessons learned for successful execution of these projects. The active participation of community can enhance the conservation processes with their indigenous knowledge and expertise. Heritage is not only representing our past but also a reflection of the whole era that contributes to the identity of the place and people. The loss of heritage is alarming and in addition to lack of funds that further slows down the processes. In this scenario the community involvement can play vital role for sustainable conservation projects. The study adopted the qualitative, descriptive research design to understand the role of community for built heritage and further complemented by literature mapping and content analysis. The results emphasized the need for the community led heritage conservation. As these further covers more aspects like interpretation, participation and continuation of the heritage with cultural narratives. The study concluded with recommendations for paradigm shift in conservation of built heritage towards inclusive and participatory approaches to protect the living heritage cultural expressions.
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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 | 0.016 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.012 |
| Scholarly communication | 0.017 | 0.018 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".