49 DAMPAK EKSPLORASI GAS BUMI TERHADAP MASYARAKAT SAUMLAKI
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
Saumlaki is located in West Southeast Maluku District. Saumlaki has Masela Block which is the largest gas producer in Indonesia. Natural gas exploration in Saumlaki is done on a large scale with the capital-intensive, risky, and the use of advanced technology. The exploration has brought about positive and negative impacts on Saumlaki society. In terms of the social community's of Saumlaki, natural gas exploration activities have contributed to the social capital of which are natural capital, human capital, and produced economic capital. From the aspect of produced economic capital, this exploration has contributed to the welfare of the community through various activities. From the aspect of human capital, the existence of this exploration can improve the ability of people, especially in terms of education and communication. In addition, natural gas exploration is also an impact on the natural capital, especially in the natural gas energy and the development of flora and fauna. Another thing that cannot be denied of this exploration is the impact of social pathology. Since the exploration activities involve workers coming from inside and outside the country, the laborers bring different character and culture from the community of Saumlaki.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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