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Record W4283270451 · doi:10.11113/ijbes.v9.n2.901

A Framework for Fire Safety Management in School Facilities

2022· article· en· W4283270451 on OpenAlexaff
Mohammad A. Hassanain, Mohammad Aljuhani, Mohammad B. Hamida, Mohamed H. Salaheldin

Bibliographic record

VenueInternational Journal of Built Environment and Sustainability · 2022
Typearticle
Languageen
FieldEngineering
TopicEvacuation and Crowd Dynamics
Canadian institutionsToronto Metropolitan University
FundersKing Fahd University of Petroleum and Minerals
KeywordsFire safetyContext (archaeology)Plan (archaeology)Fire protectionAction planFire preventionRisk analysis (engineering)EngineeringBusinessTransport engineeringArchitectural engineeringCivil engineeringGeographyManagement

Abstract

fetched live from OpenAlex

Schools are high-risk type of facilities in fire emergencies. This requires the implementation of safety measures, which comprise administrative and operational efforts to mitigate the occurrence of fire accidents. The review of literature indicated the lack of practical approaches that can be easily adopted for safety management in school facilities. This paper presents the development and implementation of a generic framework for fire safety management in school facilities. A literature review in the domain of fire safety in schools was performed to comprehend various knowledge areas in this context. A generic framework for fire safety management in school facilities was developed. The framework was implemented in a secondary school, located in the Eastern Province of Saudi Arabia, as a case study, to illustrate its applicability. An action plan was developed to improve the level of fire safety in the school facility, under review. The findings indicated that the framework provides a methodological and systematic approach for assessing the level of fire safety in schools, as well as determine the possible actions for improving the overall safety condition in such facilities. The paper provides a useful focus for practitioners and researchers concerned with fire safety in the educational workplace.

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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.679
Threshold uncertainty score0.332

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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.007
GPT teacher head0.247
Teacher spread0.240 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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

Citations15
Published2022
Admission routes1
Has abstractyes

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