Bibliographic record
Abstract
This paper demonstrates the importance of integrated studies of marine geology and geochemistry in the environmental management of an urbanized coastal inlet, using Halifax Harbour, Nova Scotia, as an example. The harbour receives 170 million litres of raw sewage per day; other sources of contamination include landfills, industrial activity, surface runoff and dredging. The level of contamination by metals in surficial sediments in Halifax Harbour is among the highest anywhere recorded in marine harbours, and is a result of sediment trapping and lack of flushing. Geological and oceanographic conditions strongly influence the present environmental quality of the harbour; assessment of environmental quality, and the design of waste-water management systems in urban harbours, are fundamentally dependant on detailed knowledge of sediment transport, deposition and erosion. Resume En prenant pour exemple le cas du Port de Halifax, le present article montre l'importance de l'integration d'etudes de geologie et de geochimie dans la gestion environnementale des bras de mer urbanisee. Quotidiennement, 170 millions de litres d'eaux d'egout sont deverses dans le port. Les decharges, les activites industrielles, les eaux de ruissellement et le dragage constituent d'autres sources de contamination. Le niveau de contamination des metaux des depots sedimentaires superficiels du Port de Halifax est parmi les plus eleves des ports marins etudies dans le monde, et cela est la consequence de la retention des sediments et du manque de chasse d'eau. Les conditions geologiques et oceanographiques sont des facteurs lourds de la qualite actuelle de l'environnement du port; l'evaluation de la qualite de l'environnement et la conception de systemes de gestion des eaux usees en port urbains dependent d'abord des connaisances detaillees des modes de transport, de sedimentation et d'erosion des sediments.
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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) | 1.000 | 1.000 |
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; both teacher heads agree on what is shown here.
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".