First Nations women's knowledge of menopause
Bibliographic record
Abstract
ObJEctIVE T o understand and describe the menopause experiences and perspectives of First Nations women residing in northwestern Ontario. DEsIGN Phenomenologic approach using in-depth qualitative interviews. sEttING Sioux Lookout, Ont, and 4 surrounding First Nations communities. PArtIcIPANts Eighteen perimenopausal and postmenopausal First Nations women, recruited by con venience and snowball sampling techniques. MEtHODs Semistructured interviews were audiotaped and transcribed. Themes emerged through a crystallization and immersion analytical approach. T riangulation of methods was used to ensure reliability of findings. MAIN FINDINGs This study confirms the hypothesis that menopause is generally not discussed by First Nations women, particularly with their health care pro viders. The generational knowledge gained by the women in this study suggests that a variety of experiences and symptoms typical of menopause from a medical perspective might not be conceptually linked to menopause by First Nations women. The interview process and initial consultation with translators revealed that there is no uniform word in Ojibway or Oji-Cree for menopause. A common phrase is “that time when periods stop,” which can be used by caregivers as a starting point for discussion. Participants’ interest in the topic and their desire for more information might imply that they would welcome the topic being raised by health care providers. cONcLUsION This study speaks to the importance of understanding the different influences on a woman’ s menopause experience. Patient communication regarding menopause might be enhanced by providing women with an opportunity or option to discuss the topic with their health care providers. Caregivers should also be cautious of attaching preconceived ideas to the meaning and importance of the menopause experience. EDItO r ’ s KEY POIN ts
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".