Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: This study was undertaken to test the applicability of using a standardized questionnaire for measuring public health nurse (PHN) job satisfaction and to determine whether or not scores changed over 30 months. The importance of establishing a method for ongoing measurement of PHN job satisfaction was underscored by changing directions in practice and an emphasis on building public health capacity. METHOD: A 30-month interval, repeated measures descriptive survey design was used. SAMPLE: A randomly selected sample of 87 PHNs employed within 1 Canadian regional health authority participated. MEASUREMENT: The survey questionnaire, the Index of Worklife Satisfaction, was designed to measure the importance of and satisfaction with 6 components of job satisfaction. RESULTS: Pay and autonomy were the most important components; the order of the 4 remaining components changed from first to second surveys. Professional status, autonomy, and interaction were the most satisfying components; PHN satisfaction with professional status and interaction improved significantly over 30 months. A majority of subjects reported that direct client care/client response/making a difference were worklife aspects providing them with most satisfaction. CONCLUSIONS: A valid, reliable questionnaire suitable for ongoing measurement was tested with PHNs, and baseline levels of their job satisfaction were established.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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