Life-cycle activity patterns of registered nurses in British Columbia : forecasting future supply and professional life expectancy
Bibliographic record
Abstract
Health manpower planning and in particular its quantitative research stage have not, until very recently, received much approbation as complex and necessary processes in the planning and operation of health care delivery systems. Recent efforts are mainly in the area of physician manpower. The first National Health Manpower Conference in Canada was held in October 1969 based on the belief that an attempt should be made to develop our human resources in the health field in some kind of rational manner. A rational planning approach is even more important for health care personnel than for those in primary markets, since microeconomic forces that equilibrate the latter do not apply as readily (if at all) to the health environment. There is also some evidence that nurses' market work behaviour is appreciably different from that of other health occupations due mainly to the gender factor. Nursing is a female dominated profession and considerable variation in the amount of time spent in market work exists among individuals. Thus, an in-depth study was undertaken to specifically quantify Registered Nurse (RN) supply/requirements in British Columbia and provide useful information to planners at various levels.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".