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Record W7015621828

Understanding Human Behaviour in Stressful Situations

2002· article· en· W7015621828 on OpenAlexvenueno aff

Bibliographic record

VenueNPARC · 2002
Typearticle
Languageen
FieldEngineering
TopicEvacuation and Crowd Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPerceptionGeneral partnershipFire safetyEvent (particle physics)Exploratory researchClothing
DOInot available

Abstract

fetched live from OpenAlex

The events of September 11, 2001 have shocked the public imagination regarding the safety of highrise buildings. Prior to these events, the reluctance to evacuate upon hearing the fire alarm signal was regularly observed in highrise buildings. Following the tragic events of September 11, many highrises were totally evacuated on minimal cues. The perception of risk seems to have been heightened right after the event but will this condition last over time? Highrise buildings are seldom meant to be totally evacuated. The strategy used instead is phased evacuation or a protect-in-place approach. Today during an emergency, are highrise building occupants prepared to stay in and wait to be instructed before leaving the building? Studies should investigate the risk perceived by highrise building occupants since September 11 and how these perceptions might change over time. Further studies should compare highrise occupant intention of response during an emergency and actual response through unannounced drills. Authorities, architects and engineers need these findings in order to appropriately design buildings, fire safety systems, training materials and instructions provided to occupants during an emergency. Background The content of this paper was greatly inspired by discussions with different colleagues, particularly with Drs. Rita Fahy, Brian Meacham and Jim Flynn. In partnership with these scientists, a study proposal was submitted in December 2001 for a Small Grant for Exploratory Research Proposal to the National Science Foundation (Fahy et al., 2001). Although the proposal was unsuccessful at the time, the questions and variables tackled are still of the utmost importance for the future of fire safety in highrise structures. Consequently, these issues are reiterated her...

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.006
Scholarly communication0.0060.003
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.083
GPT teacher head0.256
Teacher spread0.173 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations6
Published2002
Admission routes1
Has abstractyes

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