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Record W4410597014 · doi:10.1108/jsfe-08-2024-0032

Post-wildfire assessment and fire resilience strategies: a case study from Turkiye, with a critical evaluation of NRC-2021

2025· article· en· W4410597014 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.

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

VenueJournal of Structural Fire Engineering · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicFire effects on ecosystems
Canadian institutionsnot available
Fundersnot available
KeywordsResilience (materials science)EngineeringEnvironmental resource managementForensic engineeringEnvironmental scienceEnvironmental planning

Abstract

fetched live from OpenAlex

Purpose The purpose of this study is to assess structural damage mechanisms and evaluate fire resilience strategies following the 2021 Manavgat wildfire in Turkiye. Through detailed on-site inspections of 210 damaged structures, the research critically compares observed damage with recommendations from the National Guide for Wildland–Urban Interface Fires (NRC-2021), highlighting practical challenges, regional adaptability, economic feasibility and policy integration. The study provides targeted recommendations to enhance building resilience, improve wildfire mitigation strategies and inform future building codes, aiming ultimately to safeguard communities from similar wildfire incidents. Design/methodology/approach The study employed a detailed on-site investigation of 210 wildfire-affected buildings in Manavgat, Turkiye, including masonry, reinforced concrete (RC), steel and mixed structures. Structural damage and failure mechanisms were systematically identified, documented and categorized based on severity and construction materials. Observations from site inspections were then critically compared with the Canadian National Guide for Wildland–Urban Interface Fires (NRC-2021), assessing compliance levels, highlighting gaps and evaluating the effectiveness, practicality and adaptability of recommended resilience strategies to regional conditions. Findings The study identified that structural failures following the wildfire were primarily due to inadequate fire resilience measures, with timber components highly vulnerable to ignition, RC experiencing significant spalling and steel structures prone to rapid strength loss and buckling. Comparative analysis showed low compliance rates with NRC-2021 guidelines, especially concerning external walls, roofs, doors and windows. Results highlighted practical implementation challenges, economic limitations and gaps in regional adaptability, underscoring the critical need for comprehensive integration of fire-resistant construction strategies, effective vegetation management, regular maintenance and improved community-level preparedness planning. Originality/value This study offers original insights by providing a comprehensive field-based assessment of structural damage and resilience strategies from a major wildfire incident in Turkiye, critically benchmarking observed outcomes against the NRC-2021 guidelines. Its uniqueness lies in systematically evaluating implementation challenges, economic constraints, regional adaptability and policy integration gaps. The research contributes valuable, evidence-based recommendations to enhance fire-resilient construction, improve existing standards and inform future wildfire management policies, benefiting parties involved in disaster risk reduction, emergency planning 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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score0.577

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.006
GPT teacher head0.284
Teacher spread0.277 · 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