Electronic Wastes, It's Impact on Maternal and Child Health
Bibliographic record
Abstract
Electronic waste, sometimes known as "e-waste," is one of the most urgent environmental health hazards on a global scale due to its massive production volume and insufficient management strategy in many nations. In many developing and transitional economies, it presents a significant health danger for recyclers, scavenger employees, and residents in neighborhoods close to garbage disposal facilities. E-hazardous waste components are conjugated with a variety of harmful health effects. Waste CRT TVs, desktop computers, laptops, monitors, LCDs, cellular devices, keyboards, e-mouse, printers, and copiers are all various types of e-waste. E-waste includes metals and persistent organic pollutants (POPs), which are released into the environment due to improper recycling practices in several developing nations. Although these archaic recycling practices raise major health issues, the research demands must still be met. Numerous recognized and suspected developmental neurotoxicants in e-waste are especially dangerous to a growing fetus and kid. According to studies, children exposed to high amounts of lead had skin infections, respiratory problems, and stomach disorders.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.003 | 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 teacher head, 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".