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Record W4404083678 · doi:10.1002/cprt.32130

Dow launches new partnership with Ducks Unlimited.

2024· article· en· W4404083678 on OpenAlexaboutno aff

Bibliographic record

VenueCorporate Philanthropy Report · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Conservation and Management
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipBusinessFinance

Abstract

fetched live from OpenAlex

Dow has announced a new, multi-year partnership with Ducks Unlimited, a leading conservation organization, to positively impact water and nature ecosystems throughout North America. Their work together will aim to restore habitat and enhance biodiversity through impactful planning and innovative solutions, the company said. Funding for this partnership was provided through the Dow Company Foundation, the philanthropic arm of Dow that works to promote social change and address global challenges through charitable contributions aligned to building thriving communities and equitable access to science, technology, engineering and math education, skilled trades and a more sustainable future for all. The partnership will focus on restoration effort of key acreage in the Shiawassee National Wildlife Refuge, one of Michigan's largest managed wetland complexes located at the confluence of Tittabawassee, Shiawassee, Cass and Flint Rivers; Saginaw Bay through a coastal marsh restoration effort known as the Bayshore Birds Project that will help filter nutrients and sediment from the surrounding agricultural landscape; and the Prairie Pothole Region of Alberta, Canada, the primary breeding area for North American waterfowl and other grassland-dependent birds.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.392
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)0.0060.002

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 head0.050
GPT teacher head0.253
Teacher spread0.203 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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