COMMUNITY MAPPING WORKSHOPS TO IDENTIFY SENIOR-SPECIFIC HOUSING FIRST RESOURCES
Bibliographic record
Abstract
Guided by principles of community-based participatory research, this paper presents the methodological process of conducting a senior-focused community mapping workshop with Housing First service providers in Metro Vancouver, Canada. Research participants mapped community services and amenities available to support seniors in maintaining housing and identified barriers and facilitators for accessing Housing First services and supports. Community mapping is an interactive method that provided researchers and participants with visualization of how resources are distributed across municipal regions. Findings from the mapping workshop are rich as they captured participants’ diverse descriptions and understandings of resource differences between and within communities; and revealed issues of accessibility, availability, and navigation of services and resources. Implications of this research include the utility of using mapping methods to identify the accessibility and availability of senior-specific housing resources as well as system gaps and weaknesses to inform policy recommendations and changes in practice.
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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 | 0.023 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".