The transportation efficiency of cargo truck drivers from Thailand to Lao PDR
Bibliographic record
Abstract
The purposes of this study are to study (1) opinions on the driving performance of cargo truck drivers and (2) the factors that affect the efficiency of driving cargo trucks from Thailand to the Lao PDR by crossing the first Thai-Lao Friendship Bridge. The study was conducted with a sample of truck drivers who transport goods across the Thailand border to Lao PDR at the Nong Khai Customs Area, Nong Khai Province. 384 respondents were acquired by selection according to their convenience. They then completed a questionnaire with confidence values between 0.70 – 0.90. The statistical data analysis for this study included mean and standard deviation, and structural equation analysis. The results showed that: (1) Truck drivers have various opinions on the personal factors of truck drivers; truck driver performance factors and truck driver transportation efficiency indicators are as follows: speed, economy, safety, comfort and punctuality factors, which are at very high levels and (2) The personal factors of a truck driver have a positive influence on truck driver performance while the truckers’ transportation efficiency and the truck drivers’ performance have positive influences on the efficiency of truck drivers' transportation by 54 percent.
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.
How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".