Aboriginal nurses: Insights from a national study
Bibliographic record
Abstract
Aboriginal registered nurses have been identified as an essential group in the delivery of health services in First Nations communities. Despite this, there is a lack of information about this group of nurses \nin Canada. This article presents information about this group taken from two components of a national study, The Nature of Nursing \nPractice In Rural and Remote Canada: documentary analysis and a national survey of nurses. The Aboriginal nurse participants were predominantly female, between the ages of 40 and 49, diploma prepared and with licensure for less than 10 years. The survey data showed 41.4 per cent returned to their home communities to work. The participants \nnoted how they enjoyed the challenges of rural and remote nursing and wanted to raise their families in these small communities. \nThey have been able to create supportive work environments, particularly with their nursing colleagues. The nurses are committed to working in rural and remote communities.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".