Bibliographic record
Abstract
HEALTH ISSUES: Differences exist in the prevalence and physical health impacts of problem substance use among men and women. These differences are also found in the mental health and trauma events related to substance use, barriers to treatment and harm-reduction services and the impact of substance use on pregnancy and parenting. Data from the 2000-2001 Canadian Community Health Survey and Canada's Alcohol and Other Drugs Survey (1994) were used to explore this issue further. KEY FINDINGS: While women use alcohol and illicit drugs at lower rates than men, the health impact of their use is significant, and in some cases greater than for men. Women are more likely to use prescribed psychoactive drugs (e.g. pain relievers, sleeping pills, tranquillizers) and most of these drugs have addictive potential and long-term negative consequences on health. Research collected from treatment centres in Canada show high rates of victimization experienced by women, which have implications for both their substance use treatment and improvement in mental health. DATA GAPS AND RECOMMENDATIONS: Significant gaps exist in our knowledge on the level, type, and impact of substance use and the adequacy of programming for Canadian women. Information that might be used to guide prevention initiatives, such as the amount of alcohol that might safely be used in pregnancy and the incidence of fetal alcohol syndrome, related birth defects and developmental disabilities are unknown. Improved surveillance, sensitive and comprehensive screening for substance use problems, accessible treatment and harm reduction programming, and coordination with the mental health and violence fields are recommended.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".