Political Interaction Strategy Corporate Social Responsibility of PT Riau Andalan Pulp and Paper in Riau Province, Indonesia
Bibliographic record
Abstract
This research aims to analyze the corporate social responsibility (CSR) political interaction strategy used by PT Riau Andalan Pulp and Paper (RAPP) in Riau Province, Indonesia. This is qualitative research with data collected through interviews and the annual reports on the stock exchange of Indonesian companies. This research using cluster analysis to investigate the degree of correlation between political actors and companies. Furthermore, the N Vivo 12 Software was used to strengthen the actors built in the CSR political interaction strategy. The result showed that the constituency development strategy is the strongest of the four other political interactions. A constituency-building strategy means that companies seek to build relationships with multiple stakeholders in addressing political issues. The company's political interaction strategy for constituency development is building relationships with the community, policymakers, and Key Opinion Leaders while engaging with the media. It was also found that of four constituency development strategies in this company, the interaction with the media was the strongest relationship built to support political interaction and CSR.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".