Developing Guidelines for Quality Community Health Nursing Clinical Placements for Baccalaureate Nursing Students
Bibliographic record
Abstract
Rapidly increasing enrollment in Canadian schools of nursing has triggered the development of innovative clinical placement sites. There are both opportunities and challenges inherent in the delivery of clinical nursing education in diverse community settings. As part of the Canadian Association of Schools of Nursing's (CASN) ongoing work to assist its members and ensure baccalaureate graduates are prepared to meet the Canadian Community Health Nursing Standards of Practice at an entry-to-practice level, the CASN Sub-Committee on Public Health (funded by the Public Health Agency of Canada) conducted extensive national consultations with representatives from both academic and practice settings, as well as key national organizations. The resultant Guidelines for Quality Community Health Nursing Clinical Placements, released by CASN in 2010, aim to provide direction to Canadian schools of nursing and practice settings in addressing the challenges and opportunities arising from the changing context of community health nursing student clinical placements.
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 | 0.076 | 0.156 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.009 | 0.006 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".