Bibliographic record
Abstract
The inaugural Disability & The City: Building Accessible Communities Symposium united diverse voices across the City of Calgary and served as a catalyst for collective action to build accessible communities. The symposium ignited synergetic connections between UCalgary's scholars and diverse community rightsholders integrating disability perspectives into urban development in their research, pedagogy, practice, and beyond. The program facilitated a rich exchange of ideas through interactive sessions and networking opportunities. Participants not only shared insights on key areas of need but also strategized potential future directions for disability-inclusive urban initiatives. Understanding the importance of collaborative efforts in reimagining and realizing accessible communities. this gathering marked the beginning of a unified transdisciplinary network of ongoing partnerships dedicated to transforming urban environments into thriving, inclusive spaces for people of all abilities. This magazine documents the findings, patterns, and insights from the symposium. Following up on the overwhelmingly positive feedback and as a nod to the efforts of all who joined us, you will find a collection of artifacts that capture the diversity of learned experiences, in notes, photographs, and sketches, and lived experiences, in thoughts, conversations, and processes. Beginning with an overview of the program, the magazine follows a chronological order sharing the intent, process, and outcomes of the sessions throughout the day. Key topics are thematically outlined with areas of need, challenges, and interest highlighted as areas of opportunity. Next steps, supported by actionable strategies, are finally followed by a closing note from the hosts.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.033 | 0.030 |
| Scholarly communication | 0.020 | 0.005 |
| Open science | 0.001 | 0.018 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.024 | 0.002 |
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".