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Record W7095433270

Abstract: The Ontario Ministry of the Environment and Environment

2004· article· en· W7095433270 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Leadership and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsBiomonitoringStandardizationGeneral partnershipBenthosChristian ministryAquatic environmentVariety (cybernetics)
DOInot available

Abstract

fetched live from OpenAlex

established a partnership to develop an aquatic, macro-invertebrate biomonitoring network for lakes, streams, and wetlands. The resultant Ontario Benthos Biomonitoring Network (OBBN) provides a framework for evaluating aquatic ecosystem condition using shallow-water benthos and the reference-condition approach. The OBBN is being developed on the principles of partnership, free data sharing, and standardization. The OBBN protocol outlines field, laboratory, and data-interpretation options which: 1) ensure standardization with proposed federal protocols; and 2), permit partners with varying financial and technical resources to participate. Biological criteria for evaluating aquatic ecosystem condition are generally not available. The OBBN uses a reference-condition approach to bioassessment in which samples from minimally impacted (or reference) sites are used to define the normal range of variation for a variety of indices that summarize biological community composition. Sites where biological health is in question can be evaluated by determining whether test site indices fall within the normal range established from the minimally impacted sites. The OBBN will remove barriers to the application of aquatic biomonitoring techniques across Ontario by specifying standard methods, enabling data sharing between partners, automating analysis using a reference-condition approach, and providing training. EMAN sees the OBBN as a pilot project for a Canada-wide aquatic biomonitoring program.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.469
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0020.000

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 head0.043
GPT teacher head0.281
Teacher spread0.238 · 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 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
Published2004
Admission routes1
Has abstractyes

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