Bibliographic record
Abstract
Since the early 1960’s the Asubpeeschoseewagong Netum Anishinabek in Northern Ontario have been living with the consequences of chronic methylmercury poisoning. From 1962 to 1970, mercury waste was dumped into the English-Wabigoon river upstream from Grassy Narrows First Nation, contaminating the water and the fish within. In 1970, inappropriate mercury disposal was ceased, commercial fishing was prohibited, and individuals were advised not to consume fish from the river. These restrictions and their consequences profoundly affected the economic, cultural and medical wellbeing of the Asubpeechoseewagong people. Methylmercury poisoning, coined Minamata disease in Japan, has been one medical consequence of this pollution. Minamata disease describes irreversible damage to the central nervous system as a result of methylmercury poisoning, including lesions in the cerebellum, anterior calcarine cortex, and surrounding the central sulcus. Individuals commonly experience somatosensory disturbances and distal paresthesia, cerebellar ataxia and dysarthria, and visual field constriction. This case report will describe a young Asubpeechoseewagong person suffering the early consequences of methylmercury poisoning. Subsequently, the history of Minamata disease in Ontario, the pathophysiology of methylmercury poisoning, and investigations and management will be discussed. It is important to note that the story of this case is not a historical perspective. The Grassy Narrows First Nation continue to live with the results of this profound environmental injustice. In the words of Chief Simon Fobister, “we must not deny another generation of our children a bright future by refusing to clean our river.”
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".