Adoption of Mobile Internet and the Implication on Palm Oil Productivity: Case Study in Siak Regency
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
The mobile internet has already become an important technology due to the higher internet users and the several benefits of the adoption.However, the investigation on the adoption of mobile internet and the exploration of the internet adoption on palm oil productivity is relatively rare.This study aims to determine the factors influencing mobile internet adoption and its implication on the productivity of palm oil farmers.There are two techniques used to achieve the aim of this study, namely logistic regression and linear multiple regression.This research involved 119 palm oil farmers in Siak Regency.The result is that palm oil farmers' adoption of mobile internet is determined by education, training size, ease of use, and productivity.The mobile internet adoption has not significantly affected the productivity of palm oil farmers.This research only limited in mobile internet usage due to the higher of trend in this technology.Therefore, the further research could be applied by using another technology related on internet access.
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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 | 0.001 | 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