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Record W4408719598 · doi:10.5334/bc.495

Key factors for revitalising heritage buildings through adaptive reuse

2025· article· en· W4408719598 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBuildings and Cities · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research CouncilNew Brunswick Innovation FoundationCanadian HeritageUniversité de Moncton
KeywordsAdaptive reuseKey (lock)ReuseArchitectural engineeringComputer scienceEnvironmental planningGeographyEngineeringComputer security

Abstract

fetched live from OpenAlex

This study investigates the preservation through adaptive reuse of derelict heritage buildings at risk of demolition in urban settings in New Brunswick, Canada. Despite the demonstrated benefits of adaptive reuse in balancing heritage preservation and contemporary urban needs, small cities face significant challenges: financial constraints, regulatory barriers and technical limitations. Using a multiple-case study approach, adaptive reuse projects in Moncton, Fredericton and Saint John are examined to identify key factors contributing to their success. Findings reveal that prioritising structural adaptability, cultural value and long-term sustainability over profit-driven redevelopment models is essential. Successful adaptive reuse projects rely on collaborative governance frameworks, phased financial strategies, early involvement of technical expertise and active community engagement. This approach is critical to overcoming challenges such as hazardous material management, regulatory barriers and funding limitations. This study demonstrates that adaptive reuse can transform neglected heritage buildings into functional spaces, contributing to urban regeneration, cultural preservation and sustainability, while offering a framework for future adaptive reuse initiatives in similar contexts. Practice relevance The findings highlight key implications for advancing adaptive reuse as a strategy for heritage preservation and sustainability. Prioritising building location, adaptability and cultural value over profit-driven approaches is essential to fostering adaptive reuse initiatives. Establishing clear governance frameworks can align public, private and community efforts, facilitating collaboration to overcome common challenges. Financial incentives, such as grants or tax relief, can address issues such as hazardous material management, while adaptive regulatory processes can streamline approvals. Addressing expertise shortages through targeted training programmes and cross-regional collaboration is particularly important for smaller regions. Additionally, integrating sustainability principles and promoting material reuse within adaptive reuse projects can enhance environmental performance and urban resilience. These measures demonstrate how adaptive reuse can revitalise neglected heritage buildings into functional, purposeful spaces that contribute to cultural continuity, community identity and sustainable urban development.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.845
Threshold uncertainty score0.610

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.092
GPT teacher head0.261
Teacher spread0.169 · 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