Invited Lecture 2: Endocrine disrupting chemicals in ocean ecosystem and human health risks
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Brief Biosketch He is the author of 5 books and edited 7 books (chapters). He has published peer-reviewed articles in several reputed journals. He is serving as a Course Coordinator for Undergraduate (MD) teaching: Environmental health. There are 2 notified research grants in his credit: CIHR Project Grant (Spring 2019) and NSERC along with 3 ongoing projects. He was awarded Faculty of Medicine, Memorial University Outstanding Research Excellence Award (2015) and SSHRC Travel Grants Competition, Annual conference of International Society of Environmental Epidemiology, Basel, Switzerland (2013). His area of research interest is Environmental contamination and ecosystem health, Climate change and health, Indigenous health, Global Health and Social epidemiology. Endocrine disrupting chemicals (EDCs) are the exogenous substances that can cause adverse health effects through disruption to the body's endocrine systems. This can result in changes to circulating hormone concentrations, which act as signals to regulate growth, metabolism and reproduction. Hormones are maintained at very low concentrations in the bloodstream; therefore, even low levels of EDC exposure can have large consequences on endocrine homeostasis. The potential adverse health effects resulting from exposure to EDCs, including developmental abnormalities, abnormal hormonal profiles, disorders of the reproductive systems, increased incidence of cancer, and alterations to both the immune and nervous systems. There are numerous chemicals used in our day to day basis have endocrine disruption property, such as pesticides, flame retardants, and various other industrial chemicals. Humans are exposed to those chemicals from direct exposures while using them, and also from the diet. EDCs reach environment from deposition via industrial effluents or direct application and also through wastewater and landfills. Eventually, these chemicals destine to aquatic ecosystems, such as rivers, ponds, lakes, seas and oceans. Humans further get exposed to EDCs by eating marine products. The bio-accumulative and bio-magnification nature of EDCs result in their very high levels in large predatory fish and marine mammals. Studies show the people who regularly eat marine products contaminated with EDCs encounter various forms of adverse health outcomes such as thyroid hormone disruptions, infertility, and other endocrine diseases. Despite extensive literature available in industrialized countries, studies conducted in resource constraint countries are very few. Therefore, more research needed to generate further evidence.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it