SITE AND SITUATION FACTORS IN TRANSSHIPMENT PORTS: THE CASE OF THE CARIBBEAN BASIN
Bibliographic record
Abstract
ABSTRACT Container shipping throughput at world ports is estimated to be over 380 million TEUs in 2006. Of that, close to 30 per cent is estimated to be transshipped cargo from one ship to another. This paper is about Caribbean transshipment ports and their possibilities for success. It is estimated that about 6 million TEUs were transshipped in the Caribbean Basin in 2004. Six ports – Colon, Kingston, Freeport, Rio Haina/Caucedo, Port of Spain/Point Lisas and Cartagena – are competing for transshipment traffic. Attributes of the ports are placed in a site‐situation framework. Of particular interest is the situation element of proximity to major shipping lanes, or intermediacy, as shown by deviation distance. A weighted deviation distance explains some of the transshipment volumes at the ports, but it is argued that site factors of infrastructure, management and productivity also contribute to transshipment success.
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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 | 0.000 | 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".