The relationship of community livelihoods in and around forest reserve areas to forest resources in Humbanghasundutan District of North Sumatra Province
Bibliographic record
Abstract
Forest resource management needs to pay attention to the relationship between the community and forest resources. The conversion of forest land into non-forest areas affects the livelihoods of communities around the forest itself; therefore, knowledge of the socio-economic and cultural interrelatedness of communities in and around forest areas is needed so that the sustainability of forest resources and community livelihoods is maintained. This study was an explorative one. The data were obtained based on questionnaires and interviews. The respondents were selected purposely considering the characteristics of the research area. The data analysis was presented using descriptive method. The observed factors were in the form of land history, land tenure and livelihoods originating from the forest area. This study showed that the historical and customary norms were related to the conversion of forest land to other land uses. The interrelatedness of the community and the forest area was the provision of forest products, namely rubber latex, incense resin, cinnamon bark, firewood, bananas, durian, salak (Salacca Zalacca L.), jengkol (Archidendron pauciflorum L.) and petai (Parkia speciosa L.). Most of the people were not aware of the existence of forest areas legally designated by the government. Consequently, although most respondents did not know the existence of the forest areas legally, they were closely related to forest areas in the form of intensive use of forest products. The history and customary norms prevailing in the community were factors related to the conversion of forest land functions.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| 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".