Looking at Families in Nursing Research: Strategies for Study Design
Bibliographic record
Abstract
Pediatric nurses have identified the importance of studying children within the context of their families. There have been calls for attention to the family as the focus of study and unit of analysis in nursing research. One of the most important strategies for designing a study that keeps the focus on the family is the maintenance of study integrity. All the strategic choices made by the researcher when developing the research design need to reflect the theoretical premises on which the study is built. Throughout the study design, components of well-constructed family research will demonstrate consistency with the overall conceptual framework.
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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 | 0.652 | 0.571 |
| Meta-epidemiology (narrow) | 0.005 | 0.005 |
| Meta-epidemiology (broad) | 0.010 | 0.004 |
| Bibliometrics | 0.020 | 0.018 |
| Science and technology studies | 0.012 | 0.025 |
| Scholarly communication | 0.019 | 0.018 |
| Open science | 0.010 | 0.019 |
| Research integrity | 0.012 | 0.017 |
| Insufficient payload (model declined to judge) | 0.007 | 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".