The impact of governance on strengthening organizational immunity in greater Madaba municipality: A Case Study
Bibliographic record
Abstract
This study aims to investigate the effect of governance in strengthening the organizational immunity in the Greater Madaba municipality. The study includes two variables, an independent variable, governance and four dimensions including organizational justice, accountability, sustainability, and transparency, and the dependent variable is organizational immunity. The researcher designed a questionnaire consisting of (30) items that included the independent variables, organizational justice, accountability, sustainability, and transparency, and the dependent variable, organizational immunity, and it was distributed to employees of the Greater Madaba municipality, where the researcher used the random sample method, as the size of the study population reached (210) employees. The study used a sample size of 136. The study found a set of results, including the level of both organizational immunity and governance in Greater Madaba municipality, was high, according to the viewpoint of the sample members, and the existence of a statistically significant impact at the level of significance (α ≤ 5%) of governance with its combined dimensions, organizational justice, accountability, sustainability, and transparency, on the organizational immunity in the Greater Madaba municipality. Likewise, the absence of a statistically significant impact at the level of significance (α ≤ 5%) for sustainability was one of the governance dimensions in organizational immunity in Greater Madaba, and there was no effect of transparency on regulatory immunity. The study recommends that the Municipality of Madaba focus on providing programs to develop employees and involve them in training courses in institutes, specialized centers, and universities and pay attention to sustainability and transparency.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".