Bibliographic record
Abstract
BACKGROUND: Today, women have an enlightened view towards their life cycles, which is evidence of their healing potential. Women need to share their insights about their healing potential gained through self-reflective processes. Their voices must be heard so that we can benefit from their collective wisdom. The process of healing through self-reflection has begun as a group of nurses share their insights. Documenting the perspectives of these nurses provides the opportunity for other women to learn from and apply this knowledge to their lives. METHOD: Through purposive sampling, eight registered nurses, all women, were selected to participate in in-depth, personal, semi-structured interviews. The purposes in this paper are to describe a three-stage (i.e. awareness, critical analysis, and new perspective) reflective-thinking model and discuss the application of this model to women's expressed inner knowledge and wisdom across personal and professional life cycles. RESULTS: Three themes, signifying their ability to heal themselves, were labelled: Spirituality, Be-ing Versus Do-ing, and Eustress Versus Distress. CONCLUSIONS: Essentially, self-reflection results from both personal and professional stimuli and signifies the need for change so that healing can begin. Recommendations are offered for nurse educators and researchers.
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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 | 0.001 |
| 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".