Nursing workforce study, volume 3 : an inventory of nursing program enrolments and graduates in Canada by province/territory, 1998
Bibliographic record
Abstract
This study was commissioned by the Federal/Provincial/Territorial Advisory Committee on Health Human Resources (ACHHR) to develop baseline data on the supply and education of Registered Nurses (RNs), Registered Psychiatric Nurses (RPNs), and Licensed Practical Nurses (LPNs), and on employer practices pertaining to the deployment of all patient care providers. The study results are published in five separate volumes. Volume III of the study "An Inventory of Nursing Program Enrolments and Graduates in Canada by Province/Territory, 1998" describes the production of nursing personnel in Canada. A survey questionnaire was sent to provincial/territorial representatives (usually the education representative) of the ACHHR who were asked to complete the survey for all nursing education programs in their jurisdictions. The questionnaire requested information as to the type of credential offered, the length of the program, the number enrolled in each year of the program, the number of students enrolled full-time, part-time, or in distance education, and the number of graduates in 1997 and 1998. The analysis includes the impact of BN-only basic education for RNs.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".