Lessons in Media Advocacy: A Look Back at Saskatchewan's Nursing Education Debate
Why this work is in the frame
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Bibliographic record
Abstract
Nurses are encouraged to exert their influence in the realm of public policy, particularly policies related to the nursing profession, the health care system and the health of their clients. Media advocacy can be used by nursing organizations to mobilize public support on policy issues in order to influence policy makers. This article retrospectively examined the media advocacy efforts of nursing stakeholders in Saskatchewan, Canada in response to a new government policy that would have impacted educational requirements for licensure as a registered nurse (RN) in that province. Print media sources from the period January to March, 2000 were examined to determine the specific media advocacy techniques used by nursing organizations within the framework of the policy cycle. The success of nursing stakeholders in reversing the government position highlights the effectiveness of media advocacy as a tool to disseminate messages from the nursing profession in order to impact policy.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it