Evaluation of Environment Policies in Turkey’s Development Plans
Bibliographic record
Abstract
Turkey’s five years development plans had been prepared by State Planning Organization (SPO) before 2011; since that time, Ministry of Development has been preparing these plans. The plans include the resources of development goals and preparations that are necessary in order to reach these goals. There are ten development plans including the years between 1963 and 2018. The basic goal of all these development plans is to ensure Turkish citizens have a fortunate and prosperous life. The environment, which is the topic of the article, is the setting in which human continue his biologic, economic, social and cultural life. Its significance of the environment is increasing especially in terms of production, employment and trade every day. The goal of this study is to review environment policies included in the development plans, to analyze their relations with other policies, to bring up Turkey’s environmental problems to the agenda and to develop solution suggestions to these problems. Development activities should be carried out without causing any damage to the environment. Protection of environment should be prioritized during the process of urbanization and industrialization. This research is based on qualitative design document analysis technique and environment policies that are mentioned in ten development plans are analyzed. Rather than fighting with environmental pollution, it is much more economic to take precautions in order to prevent it.
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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 | 0.018 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".