Bibliographic record
Abstract
Rapid and largely unchecked coastal development in the Gulf countries as a result of the oil boom has caused considerable ecological stress in the Gulf ecosystem. Coastal habitats have begun to show symptoms of ecological imbalance generally associated with multiple stressors caused by pollution and habitat destruction: harmful algal blooms and fish kills are of common occurrence in coastal areas, fish stocks are declining, and coastal sediments are contaminated by a variety of toxic chemicals. The present state of the Gulf ecosystem reflects the constraints inherently associated with fragmented jurisdictions in the management of coastal areas at both national and regional levels. Its management is largely driven by management frameworks representing arbitrary jurisdictions of political units rather than a shared vision of the health and sustainability of the entire Gulf ecosystem. In view of the complex, dynamic, and semi-enclosed nature of the Gulf ecosystem, a paradigm shift from resource management characterized by short-term perspectives on small spatial scales to resource management that is ecosystem-based with long-term perspectives, is urgently needed. Since an ecosystem-based management of the Gulf is implicit in the provisions of Kuwait Convention and Kuwait Action Plan, we recommend that ROPME (Regional Organization for the Protection of the Marine Environment), which provides the focal point for regional cooperation under these regional agreements, be provided with a renewed mandate to coordinate an ecosystem-based management of the Gulf.
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.
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 | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".