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Record W3159809251 · doi:10.24908/iqurcp.7599

11. Exploring Various Factors and Sources in Relation to Environmental Contaminants in the Rideau Canal System

2017· article· en· W3159809251 on OpenAlexvenueaboutno aff
Cynthia Lai

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy metals in environment
Canadian institutionsnot available
Fundersnot available
KeywordsMercury (programming language)Environmental scienceContaminationRecreationHuman healthFishingEnvironmental protectionEnvironmental engineeringEnvironmental planningGeographyEcologyEnvironmental health

Abstract

fetched live from OpenAlex

The Rideau Canal has served several purposes since its establishment in 1832. Acting as a channel connecting Ottawa and Kingston, it was often used for the transport of commercial goods and lumber. Over time, its uses expanded to include recreational purposes such as: sport fishing, boating, cottaging, and tourism. This increased development and use has caused the Rideau Canal and its watersheds to become vulnerable to metal contamination. Studies within Dr. Linda Campbell’s Lab at Queen’s University have shown that cadmium (Cd), lead (Pb), chromium (Cr), zinc (Zn), mercury (Hg), arsenic (As), and copper (Cu), are in concentrations that have reached or exceeded the level of potential concern for both aquatic and human health. This study explores the potential sources as well as both natural and human factors which could be related to the influx in metal contaminants within the system. A literature review of both historical and recent documents was completed and supplemented with personal interviews with professionals and community members. Based on these investigations, the primary sources being reviewed are: atmospheric deposition, natural geological processes, and anthropogenic factors relating to residential development. While research is still ongoing preliminary analysis suggests that these are the primary sources of contamination within the area.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.787
Threshold uncertainty score0.424

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.008
Science and technology studies0.0030.001
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.138
GPT teacher head0.339
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2017
Admission routes2
Has abstractyes

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