Political Dynamics of Innovative Policy Development in Managing Forest Fires in Riau Province
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This research examines the influence of political dynamics on the development of forest fire management policies in Riau Province, Indonesia, which is a serious environmental problem with broad impacts on ecosystems, health, and the economy.In the context of this research, innovative policy refers to public policies that contain new approaches or creative solutions that differ from conventional practices in their formulation, implementation, and evaluation.These policies aim to increase the effectiveness of forest fire management and strengthen community participation and collaboration between stakeholders.Using a qualitative approach, data was collected through in-depth interviews, observation, and analysis of policy documentation and historical data.This study involved 15 key informants selected purposively based on their strategic involvement.The informants comprised four local government officials, three legislative members, four environmental NGO leaders, and four local community representatives.The main findings in this research show that interactions between several political actors, such as the government, legislature, NGOs, and the private sector, strongly influence forest fire management policies in Riau Province.Although local governments have implemented policies such as Regional Regulation Number 1 of 2019 and the Fire Control Task Force, budget fluctuations and changes in political priorities ahead of elections often affect the effectiveness of these policies.The involvement of the legislature and the private sector has positively impacted technical and financial support and a negative impact on short-term political interests.Policy sustainability relies heavily on balancing political interests with environmental protection.To achieve this, innovative policy development can be carried out through strengthening multi-actor collaboration, utilizing advanced technology such as satellite monitoring, and accurate data-based policies, which enable more targeted interventions and more efficient responses to political dynamics and long-term sustainability.In conclusion, the success of forest fire management in Riau depends on the ability to maintain policy consistency despite changes in political dynamics, as well as the importance of strengthening multi-actor collaboration and utilizing technology in formulating sustainable and effective policies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it