Bibliographic record
Abstract
Rural and Urban communities alike are struggling with the impacts of social issues such as poverty and homelessness. Progress on these issues is possible when communities bring diverse players to the table to find solutions that work for the region and individual municipalities. This presentation will showcase how the inclusion of community engaged research and the voices of lived experience can work to support communities looking to bridge the gap between economic and social sustainability. Based on the results of the Journey Home Strategy for Homelessness and several research projects we will highlight some of the innovations created in the City of Kelowna including development of social enterprise, a lived experience circle on homelessness, a toolkit for inclusion of lived experience voices in project/research and the inclusion of diverse voices (such as the faith sector). We will also discuss how these learnings are being utilized by neighbouring rural/urban communities to inform their approaches to bringing business and social together.
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 | 0.013 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.009 | 0.056 |
| Scholarly communication | 0.022 | 0.028 |
| Open science | 0.001 | 0.022 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.016 | 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".