The Calgary Japanese Community Centre Project: A Case Study for Inclusion, Diversity, Equity & Accessibility in Design
Bibliographic record
Abstract
The newly redesigned 15,000 sqf Calgary Japanese Community Centre is a cultural and community hub located in the inner-city community of Killarney in Calgary, Canada. The project replaces their existing building that has been deemed unfit for retrofit due to numerous issues with deterioration, performance and costs of repairs. In addition, due to the aging membership, the Calgary Japanese Community Association (CJCA) has witnessed a steady decline in members which has dire implications for the CJCA’s social and cultural sustainability, not to mention its longevity and economic viability. The building is 2.5 stories in height and constructed from renewable heavy timber framing. Taking all this into account, the new Centre’s design aims for the highest green, accessible and inclusive design standards, while catering to the broad demographic spectrum of Calgary’s ethnic Japanese community (Nikkei) and the broader community of Killarney, serving as a unique backdrop for a case study for Inclusion, Diversity, Equity and Inclusion (IDEA) in design.
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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.022 | 0.011 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".