Bibliographic record
Abstract
The good news has just been received from Clarivate that the CJA has received its first Impact Factor (IF)—0.6 over 2 years and 1.0 over 5 years. This metric is a measure of average citations received for published content. The articles in CJA about the Canadian experience with cannabis received the most citations in prominent journals in the field. This issue of the journal includes various articles of relevance to our practitioners. The first 2 articles are epidemiological analyses of risk factors for addiction. Tardelli et al analyze risk factors from weighted samples of respondents of the US Survey on Drug Use and Health from 2015 to 2019 (n = 214,415). Male sex, White ethnicity, and sexual minority identity predicted the use of most illegal substances. A welcome scoping review of articles published between 2015 and 2021, by Brabete et al, covers the existing evidence about a range of methamphetamine interventions. Twenty-four articles delve into the impact on outcomes between sex, gender, trauma, and equity factors. Not surprisingly, the need for tailored interventions focusing on more diverse populations is highlighted. The next contribution, from Nader et al, is a retrospective chart review of 121 patients receiving care at an innovative primary obstetrics program for high-risk inner-city pregnant patients with severe substance use disorders. Positive maternal and neonatal outcomes are associated with high rates of prenatal hospital attendance. A complementary case report from Hacker-Teper et al describes the rotating prescription to a pregnant patient from methadone to sublingual buprenorphine/naloxone via micro-dosing, followed by initiation of depot buprenorphine via macro-dosing immediately post-partum. In a preliminary study by Yeap et al, a sample of 20 people with cannabis use disorder was paired according to their tobacco co-use. Eleven used 10 cigarettes a day, while 9 used 5 or less cigarettes a day. The heavier users of cigarettes experienced higher levels of cannabis withdrawal severity, suggesting that targeting tobacco use may improve rates of cannabis cessation. Despite the current deadly opioid crisis, a comparison by Bassi et al at 11 teaching sites with a mandatory clinical rotation in addiction, in a residency program at the University of Toronto, elicited a structural marginalization of people with opioid use disorder and the need for focussed curricular changes to support their treatment. The wisdom of this recommendation is further supported by a complementary retrospective study of opioid-related drug toxicity deaths, by Whitten et al in Newfoundland and Labrador, where “accidental deaths, not intentional,” rather than “suicides” or “undetermined,” are the most prevalent manners of death. Last, but not least, it is also my particular pleasure to announce that CSAM has appointed Dr David Crockford, CJA’s current Deputy Editor, as the Journal’s next Editor-in-Chief, as I conclude 13 years in this role, after the CSAM Annual Meeting in Hamilton. Dr Crockford has been involved with the CJA from its inception and is eminently qualified to lead the journal into its next phase.
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 | 0.038 | 0.232 |
| Meta-epidemiology (narrow) | 0.005 | 0.003 |
| Meta-epidemiology (broad) | 0.007 | 0.005 |
| Bibliometrics | 0.016 | 0.009 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.050 | 0.019 |
| Open science | 0.007 | 0.008 |
| Research integrity | 0.020 | 0.017 |
| Insufficient payload (model declined to judge) | 0.166 | 0.152 |
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".