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Record W2076886874 · doi:10.1680/stbu.2008.161.5.243

R. H. Wood's ‘The stability of tall buildings’: a contemporary view

2008· article· en· W2076886874 on OpenAlexaff
Charles M. King

Bibliographic record

VenueProceedings of the Institution of Civil Engineers - Structures and Buildings · 2008
Typearticle
Languageen
FieldEngineering
TopicSeismic and Structural Analysis of Tall Buildings
Canadian institutionsBuckland & Taylor (Canada)
Fundersnot available
KeywordsEurocodeColumn (typography)Stability (learning theory)Beam (structure)Structural engineeringMoment (physics)Focus (optics)EngineeringArchitectural engineeringComputer scienceConnection (principal bundle)Physics

Abstract

fetched live from OpenAlex

Randal Wood's 1958 paper on the stability of tall buildings is valuable reading for all today's designers of medium-rise steel buildings, and especially those using either BS 5950-1 or Eurocode 3, Part 1.1. The paper describes the fundamentals of stability of buildings with rigid beam–column joints, explains the origins of design methods available in current codes of practice, advises on how best to proportion frames for stability and warns about the need for stability of traditional steel frames. The main focus of the paper was on steel frames in which the beam–column connections were stiff moment-resisting joints. Its effect on design can be judged from its effect on codes of practice. Its effect on construction practice can be seen by the extent that rigidly jointed frames have been used since the paper was written.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.006
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.014
GPT teacher head0.195
Teacher spread0.181 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations1
Published2008
Admission routes1
Has abstractyes

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