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Record W7112720366

Pre-cut construction systems: John Dalton’s ‘budget houses’ in Queensland

2025· article· en· W7112720366 on OpenAlexaboutno aff

Bibliographic record

VenueBond University Research Portal (Bond University) · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicNew Zealand Economic and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)FranchiseFraming (construction)Work (physics)Gold rush
DOInot available

Abstract

fetched live from OpenAlex

Commissioned by Reverand John and Maureen Strugnell to design <br/>their home in Pullenvale, Brisbane, John Dalton Architect elected to <br/>use the Lockwood system, a proprietary engineered building system by <br/>the New Zealand based Lockwood Group, utilizing Western Red Cedar <br/>imported from Canada. How did the Lockwood system, designed <br/>in 1953 by émigré Dutchman Johannes La Grouw for New Zealand <br/>conditions, became a viable option in sub-tropical Brisbane, Australia, <br/>a region with its own timber framing tradition derived ironically from a <br/>discontinued pre-cut house system? <br/> <br/>This paper describes a set of market forces – freer trade settings <br/>between New Zealand and Australia harnessed by a timber industry <br/>forced to re-structure by an inflationary business climate – and their <br/>intersection with local debate around an authentic modernism. By <br/>selecting Western Red Cedar in the context of this debate Dalton <br/>knowingly aligned himself with the work of West Coast Regionalist <br/>architects and maybe Auckland based Group Architects. Shared <br/>is an expression of tongue and groove boards. Intrinsic to pre-cut <br/>timber house systems, tongue and groove boards result from the <br/>mechanization of log cabin construction, and it is that most humble of <br/>settler structures that becomes an aesthetic reference. <br/><br/>Discussion around Dalton’s Strugnell House (1971), and the earlier <br/>Salter House (1970) for Lockwood Systems’ Brisbane franchise owner <br/>Peter Salter, provides an opportunity to trace through timber supply <br/>networks in Australian and New Zealand to describe how a material <br/>sourced in Canada and incorporated into a proprietary system delivered <br/>‘authentic’ and environmentally tuned modernist homes in Brisbane.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.851
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
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.032
GPT teacher head0.245
Teacher spread0.212 · 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.

Study designNot applicable
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

Citations0
Published2025
Admission routes1
Has abstractyes

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