Undergraduate nursing textbook coverage of menopause
Bibliographic record
Abstract
Background : Menopause is a significant part of a woman’s life, it would be expected that nursing students would learn a considerable amount about the changes women go though during this time. The study purpose was to assess the amount of information regarding menopause covered in undergraduate nursing textbooks. Methods : 128 electronic undergraduate nursing textbooks from one publisher were evaluated for menopause content in 11 areas and categorized as having no information (0), some information (1), or complete information (2). The word menopause was searched for each textbook. Results: The number of search hits for the word menopause per textbook was most commonly 1, with 50% having fewer than 7 search hits, and an overall average of 14.02 hits per textbook (SD=15.15, range 1 to 60). The majority of textbooks had no or minimal information about menopause in each category. Conclusions: There is minimal information on menopause in undergraduate nursing textbooks. This suggests that undergraduate nursing students may not be receiving the necessary information to adequately care for menopausal women.
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 | 0.001 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.030 | 0.005 |
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".