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Record W4244176661 · doi:10.32920/ryerson.14649732.v1

Some assembly required: design <-- --> manufacturing design <-- --> assembly manufacturing <-- --> assembly

2021· preprint· en· W4244176661 on OpenAlexaff
Yousef Edgard Thompson

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsModular designEngineeringDesign for assemblyModular programmingManufacturing engineeringProcess (computing)Systems engineeringEngineering design processArchitectureDesign for manufacturabilityComputer scienceMechanical engineering

Abstract

fetched live from OpenAlex

Advances in design are transforming the means and methods of production and assembly by impacting how we approach a project from conception. Pushing the industry to rethink how we perceive design and explore working digitally. Contemporary architectural thinking is heavily influenced by the digital workspace and the overall expression. Through modularization, this thesis has approached design from a small scale perspective to consider the design potentials in details, structure, and processes of construction by incorporating manufacturing and assembly into design from conception to gain a closer relationship between architecture and construction. This is done through the intimate knowledge of assembly and its production, which will then inform modular design, and relate to its method in modular construction. Designing with manufacturing and assembly in mind, means every process will demand a design environment that cannot remain in abstract or neutral states. This strategy has enabled systems of design, manufacturing and assembly to become a new integrated hybrid for creative design which allows the architect to maintain focus over the digital to physical transition and embrace design intent. The stress on design development and the application of small scale detailed design decisions from conception are necessary in order to achieve accuracy and precision during the digital to physical transition that will assist in the constructability of the design. This will be shown through devising solutions in modular design and construction to an existing buildings, project parameters. In this regard, there are a number of benefits that can be applied to current and future issues of construction and design which has opened a new window for fresh context where architects may re‐engage with the broader culture to benefit society.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.705
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0040.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0010.001

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 head0.027
GPT teacher head0.238
Teacher spread0.211 · 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; both teacher heads agree on what is shown here.

Study designSimulation or modeling
Domainnot available
GenreMethods

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
Published2021
Admission routes1
Has abstractyes

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