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Record W4417495333 · doi:10.35484/pssr.2025(9-i)60

Engaging Communities in Built Heritage Conservation: Insights and Challenges

2025· article· W4417495333 on OpenAlexaff

Bibliographic record

VenuePakistan Social Sciences Review · 2025
Typearticle
Language
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsKeyano College
Fundersnot available
KeywordsCultural heritageCultural heritage managementIndustrial heritageIndigenousCitizen journalismParticipatory action researchValuesCommunity engagementIdentity (music)Citizen science

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.869
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.271
GPT teacher head0.364
Teacher spread0.093 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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