The role of television in institutionalization of human resources principles in Iranian general policies of administrative system
Bibliographic record
Abstract
Iranian general policies of administrative system" is the mediator between the Islamic Republic of Iran vision in 2025 horizon and the practical field for establishing executive policies and laws, which is notified in 26 sections.This research aims to study the effects of television on institutionalization of six items of human resources principles in Iranian general policies of administrative system including human dignity, organizational justice, meritocracy, knowledge-basis, giving services in the deprived regions and honoring the retired.Research society consists of the management pundits familiar with media concepts.According to Grounded Theory and snowball sampling, 32 experts were interviewed and the institutionalization of human resources principles in Iranian general policies of administrative system model by television was extracted.The model discloses there has not been optimal utilization of television capacities for expressing the human resources principles in Iranian general policies of administrative system, but it is possible to use the capacity of television in planning and implementing these general policies.Considering the infrastructure and using appropriate strategies, television as the most influential mass media can be used in the axial issue, that is, the institutionalization of human resources principles in Iranian general policies of administrative system.It is crucial to notice the role of intervening factors in this area.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".