Outline for a Qualitative Pilot Project on Vancouver’s Down Town East Side Regarding What Consumers of Mental Health and Substance Misuse Services Consider Effective & Beneficial Outcomes Following from Therapeutic Conversation
Bibliographic record
Abstract
This thesis represents a proposal for a qualitative inquiry research pilot project. The project would involve consumers of both mental health and addiction services in the vicinity of Vancouver known as the Down Town East Side. Participants within the project would be considered co-researchers, thus the project would be collaborative. The primary research question proposed would be, In your experience, what has been most beneficial in terms of the counselling experience(s) you have had with mental health and/or addictions services? The co-research deriving from this qualitative inquiry would be utilized in fine tuning existing mental health and addiction services of the Down Town East Side and would be further proposed to all levels of government involved with funding new, innovative, programs, evolving from participants‟ lived experience and suggestions. The idea informing this project derived from a nine-month internship the writer undertook as an Outreach Worker with Strathcona Mental Health Team, located at Cordova and Heatley, on the Down Town East Side. The inspiration came from many conversations with consumers whose thoughts regarding just what entailed therapy often challenged taken for granted notions of what therapy represents.
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 | 0.015 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.048 | 0.006 |
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".