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Record W6946300017 · doi:10.25976/h30w-an19

FortWhyte Alive Watershed Project

2025· dataset· en· W6946300017 on OpenAlexaboutno aff

Bibliographic record

VenueDataStream · 2025
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsRecreationWater qualityWildlifeWatershedFishingNatural (archaeology)Watershed managementNatural resourceWater resources

Abstract

fetched live from OpenAlex

FortWhyte Alive, 1961 McCreary Rd. in Winnipeg, Manitoba, Canada, is more than just a nature centre, wildlife refuge, or a place for education – our 640 acres of protected urban greenspace is an award-winning destination for incredible outdoor experiences. Mission: FortWhyte Alive is dedicated to providing programming, natural settings and facilities for environmental education, outdoor recreation and social enterprise. In so doing, FortWhyte promotes awareness and understanding of the natural world and actions leading to sustainable living. FortWhyte Alive is located on a reclaimed industrial site, developed as a clay-pit quarry by Canada Cement in 1911. Five lakes were excavated as a part of this process. Since 1967, our private, non-profit organization has been offering educational programming onsite, including urban fishing and non-motorized recreational use of our lakes including sailing, canoeing and swimming. The lakes are considered a closed-system watershed, with infrequent water quantity contributions from overland flooding. Declining water quality conditions and large fluctuations in water quantity in FortWhyte Alive's lakes has been identified through staff observations and the completion of a North-South Consultants Assessment of Current Water Quality Conditions in August 2009. In 2013, FortWhyte staff began to collect monthly baseline monitoring data on lake health parameters, year-round, and continue to current time. The program's purpose is to provide a data source for open access by researchers, and to assist in the organization’s water management decisions, with the goal of preventing further eutrophication and improving water quality parameters. FortWhyte Alive engages an Aquatic Advisory Board of aquatic research experts to advise us on monitoring actions.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.007
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.008

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 head0.021
GPT teacher head0.313
Teacher spread0.292 · 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
GenreDataset

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
Published2025
Admission routes1
Has abstractyes

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