Bibliographic record
Abstract
How connected are residents to the development of architecture in their respective communities? This inquiry precipitates from the growing concern that the degree of engagement between the greater public and the discipline of architecture is dismally minute. At a local level, residents are left largely uninformed of the swift expansion that often radically alters their surroundings. Architecture centres attempt to address this divide by hosting a variety of programmes—such as lectures, exhibitions and workshops—that enable those not versed in architectural discourse to question and contest their built environment. Drawing from communication theory and the field of graphic design, this thesis explores the architecture centre as a locus of community engagement and participative debate fueled by information made accessible through rigorous visual communication strategies. From an in-depth study of architecture centres, globally and nationally, emerges five distinct types of centres: the "institution", the "centre", the "hub", the "temporary" and the "digital". Case studies of each type reveal that reanalysis of the operative functions of architecture centres is necessary to envision even further salient methods of engaging the public. This thesis argues that architecture can be made accessible by learning from systems of communication employed by contemporary communication agencies and graphic designers. Experimentation-through-making of print media such as zines and posters assists in understanding how best to convey messages to the target audience. The thesis posits that an architecture centre sited in a community that is projected to see rapid, unprecedented growth will act as a proactive means of spurring a dialogue between architects and residents to ensure all voices are being accounted for in their prospective built environment. The design of an architecture centre further develops the proposition that democratizing architectural ideas and planning processes can aid in elevating the quality of future development in a community; and ultimately act as an example of a single centre that would compromise a much larger network of analogous centres working in tandem across Canada.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.016 |
| Scholarly communication | 0.017 | 0.010 |
| Open science | 0.002 | 0.019 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.033 | 0.005 |
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".