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Record W2547434554 · doi:10.18322/pvb.2016.25.05.37-51

Problems of regulation of time to start evacuation

2016· article· ru· W2547434554 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

VenuePozharovzryvobezopasnost/Fire and Explosion Safety · 2016
Typearticle
Languageru
FieldEnvironmental Science
TopicAerospace, Electronics, Mathematical Modeling
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Lack of reliability and effectiveness of automatic fire protection systems of buildings and structures do not allow to fulfill the requirements of technical regulations on limitation of spread of fire hazards (OFP) by placing the focus of its occurrence. Beyond this room, OFP have such a broad distribution that, despite the normative mode of operation of fire protection systems, people are still a few dozen seconds to escape safely from the floor. So many years the maximum reduction the time to start their evacuation is an urgent task for scientists and regulatory bodies around the world. The article analyzes the history of the regulation of the magnitude of the time to start evacuation in various regulations and the current state of affairs. The starting time of evacuation was examined for the first time after the survey of survivors of the fire in buildings (mostly residential) in the UK in the 70 th of the last century and then continued in the U.S. and Canada. In our country the first studies were conducted in the 80 th of the last century. Such studies, unfortunately, are occasionally held in other countries. The main problems of application of this parameter in Russian practice is that people should wait some time before evacuation. It's indicated that the type of warning system influences the starting time of evacuation, but the opposite way, i. e. the higher type of warning system, the start time of evacuation should be longer. This is due to the fact that with increasing type of warning system the complexity of the system, is growing which increases its inertia. It is shown that incorrect normalization of the time to start evacuation of people leads to the prediction of the places the formation of clusters in an entirely different place that does not allow to ensure the safety of people during evacuation and leads to excessive costs during construction. There are presented the results of the active study in our country made in recent years in educational and scientific centre of problems of fire safety in construction of Academy of State Fire Service of Emercom of Russia. There are outlined the scientific-methodical principles and methods of the research, based on the concept of psychophysical conditionality of the probabilities of human behavior at the stage of formation of start time of evacuation.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0040.002

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 head0.015
GPT teacher head0.219
Teacher spread0.204 · 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