Bibliographic record
Abstract
This article presents a brief overview of theory as background for a more detailed discussion of midrange theory-its origins, the critical role for midrange theory in the development of nursing practice knowledge, and the criteria for evaluating midrange theory. We then chronicle Cheryl Tatano Beck's program of research on postpartum depression (PPD) and advance the thesis that her theory of PPD, titled Teetering on the Edge, is an exemplar of a substantive midrange nursing theory. We demonstrate Beck's progression from identification of a clinical problem to exploratory-descriptive research, to concept analysis and midrange theory development, and finally to the application and testing of the theory in the clinical setting. Through ongoing refinement and testing of her theory, Beck has increased its generalizability across various practice settings and continually identifies new issues for investigation. Beck's program of research on PPD exemplifies using nursing outcomes to build and test nursing practice knowledge.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.002 | 0.023 |
| Scholarly communication | 0.009 | 0.017 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 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".