Some assembly required: design <-- --> manufacturing design <-- --> assembly manufacturing <-- --> assembly
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.200 | 0.099 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".