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Water for firefighting: A comparative study across several cities

2022· article· en· W4392420697 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicFire Detection and Safety Systems
Canadian institutionsnot available
Fundersnot available
KeywordsFirefightingComputer scienceArchitectural engineeringGeographyEngineeringCartography

Abstract

fetched live from OpenAlex

Studies into water for firefighting are sparse in global literature. Over the past three decades, 6 published studies have been undertaken in South Africa to quantify the extent of municipal water employed to fight fires. These studies have been necessary considering the need to conserve scarce and dwindling freshwater resources while providing adequate fire protection to many South African communities. While these studies have been driven by similar objectives, their analysis have not produced results that can easily be compared in order to extract generic highlights that can aid national firefighting efforts. In addition, the recent firefighting studies postulate that the minimum fire flows in the South African National Standard (the SANS 10090) and Guideline (The Red Book) are conservative and therefore do not promote the appropriate design of water networks. This may be attributed to the fact that the fire flows in the 1st edition of the SANS 10090 were likely over-estimated for South Africa since they were compiled with the assistance of organisations from the UK, USA, Canada, New Zealand and Germany, and have not notably changed since. This paper therefore aims to address 2 objectives. The first objective will extract as much data as is possible from each of the 6 studies and will analyse the data with the aim of comparing consistent parameters (such as fire flows). The second objective will compare results obtained from the first objective with the SANS 10090, The Red Book and available international Standards and Guidelines for firefighting. Based on the results from the second objective, this study will conclude on the appropriateness of the minimum fire flows in the SANS 10090 and The Red Book to current firefighting efforts.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.412
Threshold uncertainty score0.416

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 head0.034
GPT teacher head0.272
Teacher spread0.238 · 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

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Citations0
Published2022
Admission routes1
Has abstractyes

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