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Record W2028558526 · doi:10.1080/14634988.2011.551750

Long-term ecosystem studies in the Bay of Quinte, Lake Ontario, 1972–2008: A prospectus

2011· article· en· W2028558526 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAquatic Ecosystem Health & Management · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Invertebrate Ecology and Behavior
Canadian institutionsUniversity of TorontoFisheries and Oceans Canada
Fundersnot available
KeywordsBayProspectusEcosystemEutrophicationMacrophyteEnvironmental scienceDominance (genetics)Lake ecosystemEcologyNutrientGeographyEnvironmental resource managementBiology

Abstract

fetched live from OpenAlex

Project Quinte can best be described as a long-term ecosystem study of the Bay of Quinte, Lake Ontario. Starting in 1972, Project Quinte was initially established to study the whole ecosystem effects of controlling phosphorus loadings in a eutrophic ecosystem. Since then, the Bay of Quinte ecosystem has experienced reduced nutrient loads, climatic events that changed the dominance of fish species, multiple invasions by non-native species, a resurgence of macrophytes, and increasing annual temperatures. Through this, the Bay of Quinte has gone from a study site to a Great Lakes Area of Concern to now the prospect of being delisted. The data that Project Quinte has assembled since its inception represents a unique opportunity to examine how ecosystems function, and the papers presented in this special issue provide evidence of the scientific and management benefits of careful long-term monitoring of ecosystem structures and processes.

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.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.913
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.002

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.

Opus teacher head0.058
GPT teacher head0.290
Teacher spread0.232 · 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