Aboriginal Urban Design for Health
Bibliographic record
Abstract
Montreal’s Aboriginal population is growing rapidly, yet the community lacks a culturally safe and holistic health service center that is accessible to all Aboriginal people. On Friday, June 2, 2017 The Montreal Urban Aboriginal Health Centre (MUAHC) joined forces with Next City & Concordia University to co-create a 7-minute pitch for a $7,000 prize through the Vangaurd Conference Big Idea Challenge. An interdisciplinary team of 8 conference attendees worked with MUAHC leadership to design a short-term solution that would be a step in the right direction towards MUAHC’s goal to build a fully functioning and independent health center dedicated to Montreal’s Aboriginal population. The Big Idea was to transform an existing room within a new hospital site into a Healing and Teaching Lodge, where Aboriginal patients and their family/friends could come together to focus on wellness. Ultimately, the judges received an anonymous donation after the six presentations, and the Lodge was awarded $2,000 to implement the project. PPT: https://docs.google.com/presentation/d/1CwzoQokFMR-MZYTyEbpjJtBvB903K6c995QOU6VD3I0/edit#slide=id.g1f67c01f4c_0_4
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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.213 | 0.027 |
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".