Significance of Biotechnology Clusters in Terms of Sustainable Development and Clustering Proposal for Antalya Province, Turkey
Bibliographic record
Abstract
As global economy progress and world population increases, the effects of rapid industrialization and polluting activities of population is seen as depletion of natural resources and pollution of ecosystems. Thus, countries have come to a conclusion to implement sustainable development principles in their economic activities. Several international treaties have been signed and Turkey is a signatory of most of these treaties. In the study the necessity of the development of biotechnology sector is emphasized in order to achieve sustainable development objectives that have been recently recognized in Turkey. Antalya is chosen as the case because it is a developing city, with high immigration rate, rapid industrialization and mass tourism activities (approx. 11 million incoming tourists annually) which increases rapid consumption of natural resources in addition to increased environmental damage. Biotechnology industry offers cleaner solutions and applications for consumer demands. In the study, the potential and the necessity of forming a biotechnology cluster in Antalya is discussed. A SWOT analysis is included and the research is made through sectoral visits, conference calls and workshops as part of the field researches of West Mediterranean Development Agency.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".