Internalization of Intrinsic Value of Trust in Financial Accountability: A Study of Subak Jatiluwih Bali Indonesia
Bibliographic record
Abstract
The objective of this research is to disclose more deeply the influence of the intrinsic elements, namely, trust in the financial accountability of Subak Jatiluwih. This research applied ethno-methodological method seeking to understand and capture phenomenon through observations in the form of non-quantitative data and observing the phenomenon until the real truth is revealed. Validation and legality of data in qualitative research was carried out using triangulation techniques. The results of the study show a new paradigm in financial accountability as in the triple bottom line that the reporting of organizational performance is not just reporting financial transactions but also integrating social and natural environment. This is in line with the principles of Tri Hita Karana recognizing three elements namely parhyangan, pawongan and palemahan which aim at forming harmonization, harmony and togetherness, as an integral and inseparable unit. Trust is the most important element in the social system because the behavior of members in society is strongly influenced by what they believe and what is known as the truth, religious system and the ways of worshiping God Almighty. Trust is a statement about things that are accepted as genuine truth that are used as guidelines for activities to achieve a goal. Elements of trust oriented to traditional values in Subak are realized in various religious ceremonies. The substance of trust in Subak is not only related to trust in Subak management or bonding concept, but also trust with other stakeholders through bridging and linking in social capital concept.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".