Bibliographic record
Abstract
The “Kaʻu Community Asthma Management Program” (KCAMP) is a quality improvement and evidence-based practice Doctor of Nursing Practice (DNP) project. KCAMP’s objective was to determine whether community-based asthma education, self management, self-efficacy, an asthma action plan, journal writing, and use of peak flow meters reduce asthma exacerbations. The literature supports these effective interventions for asthma control (Andrews, Jones, & Mullan, 2014; Chen, Sheu, Chang, Wang, & Huang, 2010; Federman et al., 2013). KCAMP was designed with community-based interventions to improve the practice of management of asthma, decrease hospital and doctors’ visits’ costs, and improve the lives of people who have asthma. Fourteen adult residents with asthma from the Kaʻu District, ages 28 to 75, participated in the program. There were 64% (n = 9) females and 36% (n = 5) males. The racially diverse group included ten Hawaiians, three Asians, and one Caucasian.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.066 | 0.007 |
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".