Bibliographic record
Abstract
The objective of this study was feasibility of virtual education (e-learning) IN Fars province justice department, from the viewpoints of the employees, specialists and managers, with regards to six different indices, including environmental provisions, computer experience readiness, cultural provisions, infrastructural readiness, human resources readiness, technical personnel and financial provisions.The study was conducted using descriptive-surveying techniques.Statistical population included 1585 people, among which 310 people including employees, managers and specialists were selected as the sample volume, according to Morgan table.Two criteria regarding computer and cultural readiness items were evaluated via questionnaires, the environmental readiness was evaluated via questionnaires and interviews, and three other criteria were examined by questionnaires.The research results showed that regarding computer readiness, Fars province justice department had a rather unsuitable situation, while it had rather appropriate conditions regarding cultural readiness, the environmental and financial conditions were appropriate, while it was evaluated as rather appropriate for its technical and infrastructural readiness.Some proposals are given at the end for more appropriate holding of e-learning (virtual education) aspects in Fars province justice department.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.865 | 0.811 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".