Impact of the Panama Canal Expansion on Canadian Logistics
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 Panama Canal expansion project is one of the world’s largest transportation projects in recent years. The impact from this project will be a global one, as it would improve the competitiveness of routes for shipping containers between the Pacific Ocean and the Atlantic Ocean. Many works have focused on the impact of the canal expansion to the US logistics network, with little focus to Canada. This study attempts to evaluate the impact of the expansion on goods imported from Hong Kong destined for nine major Canadian cities. Specifically, routing options are modeled based on the three parameters: shipping distance, shipping time, and shipping efficiency respectively. The outcomes reveal that the expansion has little to no effect on shipping time; accessing Canada via the western ports followed by rail shipping to destination cities continues to be the preferred route. However, considering shipping efficiency, widening of the canal improves the economies of scale of shipping via the Panama Canal. Depending on the urgency associated with the commodities being shipped, cities such as Montreal and Halifax will see an increase in goods from Asia being shipped through the Panama Canal into the Port of Halifax and Port of Montreal.
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.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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