The STRENGTH Project Community Report on Outreach Activities
Bibliographic record
Abstract
The STRENGTH PROJECT is a 3-year, community-based pilot research project exploring women-led, trauma- and- violenceinformed outreach with women in the Downtown Eastside neighbourhood in Vancouver, BC. The goal is to reduce barriers in accessing support services among women affected by violence by building lasting relationships that promote autonomy and enhance overall quality of life. The project is led by a team of researchers, service leaders/staff and experiential experts (i.e., women affected by violence), and builds on current services’ capacities to learn if and how integrating a women-led and trauma-and-violence informed approach to outreach facilitates women’s connections with services and improves service coordination. Many women experience limited access to services necessary to prevent interpersonal and systemic violence and reduce its harmful effects. Barriers include isolation, control by partners, knowledge gaps about services, and negative encounters in support service settings. This project explores outreach activities to build lasting relationships between outreach workers and women to enhance quality of life and overall well-being. [This pilot research report corresponds to the STRENGTH project pilot study findings available at http://hdl.handle.net/2429/78366]
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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.107 | 0.026 |
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".