Addiction research centres and the nurturing of creativity: The Centre for Addictions Research of British Columbia, Canada
Bibliographic record
Abstract
The Centre for Addictions Research of British Columbia (CARBC) was established as a multi-campus and multi-disciplinary research centre administered by the University of Victoria (UVic) in late 2003. Its core funding is provided from interest payments on an endowment of CAD 10.55 million dollars. It is supported by a commitment to seven faculty appointments in various departments at UVic. The Centre has two offices, an administration and research office in Victoria and a knowledge exchange unit in Vancouver. The two offices are collaborating on the implementation of CARBC's first 5-year plan which seeks to build capacity in British Columbia for integrated multi-disciplinary research and knowledge exchange in the areas substance use, addictions and harm reduction. Present challenges include losses to the endowment caused by the 2008/2009 economic crisis and difficulties negotiating faculty positions with the university administration. Despite these hurdles, to date each year has seen increased capacity for the Centre in terms of affiliated scientists, funding and staffing as well as output in terms of published reports, electronic resources and impacts on policy and practice. Areas of special research interest include: drug testing in the work-place, epidemiological monitoring, substance use and injury, pricing and taxation policies, privatization of liquor monopolies, polysubstance use, health determinants of indigenous peoples, street-involved youth and other vulnerable populations at risk of substance use problems. Further information about the Centre and its activities can be found on http://www.carbc.ca.
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.018 | 0.007 |
| Scholarly communication | 0.016 | 0.004 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.058 | 0.009 |
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".