Hope, self‐efficacy, spiritual well‐being and job satisfaction
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
TITLE: Hope, self-efficacy, spiritual well-being and job satisfaction. AIM: This paper is a report of a study of the relations of spiritual well-being, global job satisfaction, and general self-efficacy to hope in Continuing Care Assistants. BACKGROUND: Healthcare providers have described their hope as an important part of their work and a form of work motivation. Hope may be an important factor in preventing burnout and improving job satisfaction. METHODS: A concurrent triangulation mixed method design was used. Sixty-four Continuing Care Assistants (personal care aides) who registered for a 'Living with Hope' Conference completed a demographic form, Herth Hope Index, Global Job Satisfaction Questionnaire, Spiritual Well-Being Scale, General Self-Efficacy Scale, and a hope questionnaire. Data were collected in 2007. The response rate was 58%. RESULTS: Using linear regression, 29.9% of the variance in Herth Hope Index score was accounted for by scores from the General Self-Efficacy Scale and Spiritual Well-Being Scale. General Self-efficacy scores (positive relationship) and Spiritual Well-Being scores (negative relationship) accounted for a significant part of the variance. Qualitative data supported all findings, with the exception of the negative relationship between hope and spiritual well-being; participants wrote that faith, relationships, helping others and positive thinking helped them to have hope. They also wrote that hope had a positive influence on their job satisfaction and performance. CONCLUSION: Hope is an important concept in the work life of Continuing Care Assistants. Supportive relationships, adequate resources, encouragement by others, and improving perceptions of self-efficacy (ability to achieve goals in their workplace) may foster their hope.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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