Bibliographic record
Abstract
Generally, with the onset of menses, it is reasonable to consider and provide contraceptive counselling for our patients. Despite the variability in timing of menarche for a given patient, the age of consent in Canada is 16. The age of consent is the age at which a young person can legally agree to sexual activity. Age of consent laws apply to all forms of sexual activity, ranging from kissing and fondling to penetrative intercourse. However, a 14- or 15-year-old can consent to sexual activity as long as the partner is less than 5 years older and there is no relationship of trust, authority or dependency or any other exploitation of the young person. There is also a "close in age" exception for 12- and 13-year-olds. A 12- or 13-year-old can consent to sexual activity with a partner as long as the partner is less than 2 years older and there is no relationship of trust, authority or dependency or any other exploitation of the young person. As providers of healthcare, we need to be aware of these parameters and begin counselling our patients, if appropriate, to offer options for protection from unplanned pregnancy. The Society of Obstetricians and Gynaecologists of Canada (SOGC) reaffirmed in the Contraception Consensus 2015, and later updated during the pandemic, that recommendations for screening, duration of use, follow-up assessments, and the provision of long-acting reversible contraception (LARC) methods as first-line contraception methods should be provided. During pandemic situations, provision of family planning services must be adapted in an evidence-based fashion. For young patients, issues regarding care and counselling may include access, privacy, and timing. As health care professionals, we should be removing any barriers in order to offer care and counselling to young patients.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".