The Impact of Talent Management Strategies on the Employees’ Performance in the Ministry of Social Affairs and Labor MOSAL in the State of Kuwait
Bibliographic record
Abstract
Talent management is of great importance to organizations in the public and private sectors, and this study aims to test the impact of talent management strategies on the employees’ performance in the Ministry of Social Affairs and Labor MOSAL in the State of Kuwait. The researchers conducted a study of a practical nature (Empirical) based on the discovery of cause and effect relationships (Causal & effect) between variables. The study population included employees of the Ministry of Social Affairs and Labor in Kuwait. The researchers decided to choose a convenience sample of 150 employees to distribute the questionnaire of the study. It is found that there is an impact of Talent Management Strategies on the employees’ performance in the Ministry of Social Affairs and Labor MOSAL in the State of Kuwait. The researchers recommended that employees in the Ministry of Social Affairs and Labor in Kuwait should be involved in the process of developing plans related to their work.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".