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Record W2754496238 · doi:10.1080/14634988.2017.1304792

A review of Hamilton Harbour beaches: Towards delisting 2020, successes and challenges

2017· review· en· W2754496238 on OpenAlexaffabout
Jacqui Milne, Sue Gilpin, John Fortuna

Bibliographic record

VenueAquatic Ecosystem Health & Management · 2017
Typereview
Languageen
FieldEnvironmental Science
TopicWater Treatment and Disinfection
Canadian institutionsHamilton Health SciencesEnvironment and Climate Change Canada
FundersMinistry of Environment
KeywordsHarbourOutreachFisheryBayRecreationGeographyArchaeologyEcologyPolitical scienceBiologyLaw

Abstract

fetched live from OpenAlex

Bayfront and Pier 4 Beaches are located in Hamilton Harbour, Ontario, Canada. Both beaches experienced health advisory postings >60% of the bathing season prior to 2005. In order to de-list Hamilton Harbour as one of 43 areas of concerns, the water quality at Bayfront and Pier 4 Beaches must meet the provincial water quality objective of 100 cfu of Escherichia coli 100 ml−1 > = 80% of the bathing season for a minimum of three consecutive years. In 2005, the Hamilton Harbour Beach Committee was formed to guide beach managers on decisions pertaining to beach remediation and E. coli mitigation. Here we discuss the various studies, projects and public outreach programs delivered by Environment Canada, the City of Hamilton and the Bay Area Restoration Council to improve beach health and move toward delisting as an Area of Concern by 2020.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.792
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.366
Teacher spread0.228 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2017
Admission routes2
Has abstractyes

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