The development impact of information technology in trade facilitation
Bibliographic record
Abstract
It is almost taken as a matter of definition that IT is an integral part of trade facilitation (TF) which objective is to expedite the movement, clearance, and release of goods, including goods in transit. Yet for many developing and least developed countries, especially those from Asia, IT remains a distant but desirable goal. There are many and varied reasons behind this, and it is not the purpose of this chapter to lay them out. However there appears to be some confusion regarding IT in TF. The common perception is that adopting automation for trade transactions automatically leads to speedier movement of goods and people. This is tantamount to a mechanistic way of looking at IT. This kind of confusion is clearly misplaced. After all, the installation of computers, software, and other peripherals is only the instruments for TF and there is no immediacy to improvements in efficiency and reduction in transactions costs. Recall the “productivity paradox” associated with the use of IT in US industries.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".