Necessary assets for an inland port: a case study of the City of Prince George (B.C.)
Bibliographic record
Abstract
The 2004 announcement by the Prince Rupert Port Authority of their intention to construct a container facility has created a lot of discussion in Western Canada about the establishment of an inland port to service this container facility.The development of an inland port facility in the City of Prince George has been identified as a priority by the City Council of Prince George.This paper reviews the current literature on the development of inland ports and identifies the assets that are important to different stake holders in inland port development.This list of assets is then prioritized, with the eleven common assets reviewed in greater detail.These same assets are then researched and then evaluated for the City of Prince George.From this evaluation, a list of recommendations is presented to further the development of an inland port in Prince George.I would like to thank my Supervisor, Dr. Balbinder Deo, for his time, counsel and expertise with this project.You really helped formulate the project and bring it together.As well, I would like to
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 source (direct Gemma or distilled Codex), 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".