Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
For some, Vancouver’s Downtown Eastside is notorious for its mental illness, homelessness, and most importantly, its drug scene. Drug use and addiction plagues numerous lives and it does not distinguish between age, gender or socio-economic status. To better understand the motivators behind drug use, desistance and sobriety, qualitative, semi-structured interviews were conducted with 12 participants who previously used drugs, participated in that the drug scene, and sought treatment from a Downtown Eastside treatment organization. Using the principles of the developmental and life-course theories, this study uncovers that there are numerous factors that lead an individual into drug dependency, such as the lack of parental bonding resulting from early childhood trauma and the lack of pro-social skills; thus treatment is effective if it addresses those shortcomings. In essence, treatment is a time of self- transformation, where an individual is given tools to develop responsibility and accountability. With significance placed on those tasks, and the fear of loosing that responsibility, motivation for achieving and maintaining sobriety is achieved.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it