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Record W7009665116

Environmental management strategy for the Great Lakes system

2018· report· en· W7009665116 on OpenAlexaboutno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2018
Typereport
Languageen
FieldSocial Sciences
TopicWater Resources and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPollutantPollutionWater qualityCommissionEnvironmental qualityWater pollutionJoint (building)
DOInot available

Abstract

fetched live from OpenAlex

In November 1972, the International Joint Commission appointed an International Reference Group on Great Lakes Pollution from Land Use Activities (PLUARG), composed of nine Canadian and nine United States representatives, to conduct the study under the Great Lakes Water Quality Board. The purpose of this study was: (a) to determine and evaluate the causes, extent and locality of pollution from land use activities, (b) to gain an understanding of the relative importance of various land uses in terms of their diffuse pollutant loads to the Great Lakes, (c) to examine the effects of the diffuse pollutant loads on Great Lakes water quality, and (d) to determine the most practicable remedial measures for decreasing the diffuse pollutant loads to an acceptable level and the estimated costs of these measures. This final report provides a summary of the findings and conclusions of the PLUARG study, including the Reference Group's recommendations.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.793
Threshold uncertainty score0.411

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.035
GPT teacher head0.244
Teacher spread0.209 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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