Challenges that Confront the Human Development in Jordan and Means of Limiting Them
Bibliographic record
Abstract
The study aims at recognizing the human development as a worldly phenomenon and its challenges on the human development, especially in Jordan, being the most important and powerful resources to confront the challenges, meanwhile the study problematic had circulated in an axial question meaning what are the challenges that confront the human development and how to surmount them, and make barrier against achieving objectives of the state through the qualified human resources, reaching the welfare of the community and make happy its individuals? To answer the question of study and achieve its objectives. The study had employed the analytical descriptive method, and the study came asserting the correctness of this hypothesis. The study had made us deduce many deductions the most important of them is that the human development concentrates on achieving the economic development, not only to pure economic objectives, but another political, social, and environmental and at a truthful link with objectives of security and settlement. And the study obliged many deductions, the most important of which is laying a comprehensive strategy for the economic, social, and political development in Jordan.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".