Port of Ehoala—Planning of a Multi-Use Facility
Bibliographic record
Abstract
The island country of Madagascar is rich in natural resources such as the mineral sand ilmenite (titanium dioxide), which is used as a pigment in the production of paints, coatings and plastics. International mining group Rio Tinto plc is now mining ilmenite deposits located near the town of Fort Dauphin (Tolagnaro) in the southeastern part of the country for export to processing facilities in North America. Existing infrastructure in the region was severely limited and a new port was needed, one capable of initially exporting a minimum of 750,000 metric tonnes/yr. The construction of the new port is a public/private partnership between Rio Tinto and the World Bank and forms part of a total 1 billion USD development with major stakeholders including the Government of Madagascar, World Bank, and Rio Tinto. W.F. Baird & Associates Ltd. (Baird) was the engineer for the greenfield port project responsible for the planning, design, and construction management of the new 145 million USD Port of Ehoala. The new port is comprised of five main elements: breakwater, quay, dredging and reclamation, navigation works, and other coastal structures. This paper will present challenges and solutions related to the planning of the port.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.030 | 0.003 |
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".