Bibliographic record
Abstract
The significance of this site lies in its location. It is three miles away from French Quarter, the heart and origin of the city, and eight miles away from Lake Borgne, as well as the Gulf. Regardless of the size, it distinguishes itself on the map as a wedge of green space inserted sharply into densely developed urban space. The site was prosperous cypress swamp six decades ago, too dense to identify lands and water underneath. However, after the Mississippi River Gulf Outlet was dug in the 1960s, it took less than 30 years for it to transformed into brackish open water. The transformation was disastrous. First of all, the eco-system has been severely damaged. According to a group of researchers from University of Wisconsin-Madison, the fresher the water is, the more diverse the eco-system will be. Besides the irreversible damage done to the ecosystem, loss of vegetation resulted in a huge loss of joyous space for the neighborhood. Senior residents still keep the memories of a cypress swamp as a place for recreation and production. Unfortunately, as the vegetation degraded, the role of BBTW changed from protection to the opposite. The force of surge aggregated in this open water pond, posing threats to the vulnerable low-lying neighborhood. After 1960s, a six-feet still wall has been put between BBTW and the neighborhood. reversed its protective function in the face of surges from the Gulf. To protect the neighborhood, Bayou Bienvenue Triangle Wetlands is a creation of men and nature. It was developed as the city’s drainage outlet into the Gulf of Mexico, to carry excessive amount of water due to the unique location of New Orleans. The city, New Orleans, once thrived as the confluence of the Mississippi River, one of the most extensive water systems in the world, and the ocean. The rapid growth in New Orleans shipping activities resulted in extensive dredging and canalling activities in the area between the city and the Gulf. When more and more heavy-loaded ships managed to get to the river, the water from the ocean intruding further and further into coastal wetlands systems, transforming enormous amount of marshes and swamps into open water. According to surveys conducted by USGS, Louisiana's 3 million acres of wetlands are lost at the rate about 75 square kilometers annually, but reducing these losses is proving to be difficult and costly. In this huge devastation of coastal
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.151 | 0.020 |
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".