ARTVİN İLİ ORMAN KÖYLERİNİN SOSYO-EKONOMİK ÖZELLİKLERİ
Bibliographic record
Abstract
Forest villages have been considered apart from the villagers who live on the other rural areas in Turkey since the last quarter of the XIX th century. This type of villagers is supported to the priority for the forest works and to purchase reduced prize for the forest products. On the other hand these villagers are also instructed and exhorted about the subjects like animal husbandry, carpet business etc. However, these villagers are the poorest part of the society at the moment. This study is based on a direct interview survey which was performed to 100 householders from 15 villages to determine the demographic, social, cultural, economic etc. characteristics of villagers and to assist in reaching positive results by using these characteristics in prepared various plans. According the results, the rate of university education is 4% and the active population corresponds to 70%. The 31% of forest villagers are get along with agriculture, only 1 % of the sampled people are get along with forestry. Furthermore, none of the people thinks that forestry is the first level job opportunity for their future.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".