Bibliographic record
Abstract
Although adolescent males have as many health issues and concerns as adolescent females, they are much less likely to be seen in a clinical setting. This is related to both individual factors and the health care system itself, which is not always encouraging and set up to provide comprehensive male health care. Working with adolescent boys involves gaining the knowledge and skills to address concerns such as puberty and sexuality, substance use, violence, risk-taking behaviours and mental health issues. The ability to engage the young male patient is critical, and the professional must be comfortable in initiating conversation about a wide array of topics with the teen boy, who may be reluctant to discuss his concerns. It is important to take every opportunity with adolescent boys to talk about issues beyond the presenting complain, and let them know about confidential care. The physician can educate teens about the importance of regular checkups, and that they are welcome to contact the physician if they are experiencing any concerns about their health or well-being. Parents of preadolescent and adolescent boys should be educated on the value of regular health maintenance visits for their sons beginning in their early teen years.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".