Canadian Nurses by the Year 2000
Bibliographic record
Abstract
The directors of the Canadian Nurses' Association (CNA) have unanimously endorsed the concept of university preparation as the minimum requirement for nurses entering the profession by the year 2000. A task force has been set up by CNA to develop strategies so that the goal for the year 2000 can be reached. At the provincial level, seven provinces to date have voted to support the national association's position and the remaining three provinces are currently studying the feasibility of such a change. The expanding role of the nurse in the health care delivery system has created the need to prepare a liberally educated person to function as a professional nurse in a variety of nursing roles and health care settings. University nursing education is designed to prepare graduates for: caregiving which is the major task of nursing both in the hospital and in community health agencies; for management and leadership in head nurse and supervisory positions; for health promotion as practiced in schools, homes and in clinics; for teaching and counselling which is inherent in almost every patient care situation; and in health and illness screening, a recently acquired and complex nursing responsibility (Kramer,
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.049 | 0.013 |
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".