Maritime Transport Infrastructure Effects on the Territory Development
Bibliographic record
Abstract
The Port represents the main Maritime Transport Infrastructure which has suffered developments and changes of use, often with negative effects on the urban development of the surrounding territory, losing the original morphology, authenticity and integrity of the relationship between the land and the sea.In recent years, with the development of society, people's awareness of environmental protection has increased, although the Port promotes economic development and employment levels.For this reason, the local authorities and the local communities have started to analyse and study solutions to solve these negative impacts, following the international standards of international organizations.In this contribution we present the situation of the development of the commercial port in relation to the surrounding territory through a case study concerning the port of Lattakia in Syria, reflecting three trends: the first is the great changes and continuous challenges that the Port faces today; the second concerns the enhancement and analysis of the maritime and terrestrial fabric; the last is the role of the ecological transition in sustainable development in finding solutions respectful of the environment and in favour of the society that uses it, with the aim of safeguarding the original identity of the relationship between the land and the sea, offering more social spaces of relationship and less transport traffic within the area connected between the sea and the city.
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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 | 0.000 | 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 | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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 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".