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Record W3046058333

Project Prairie and Tallgrass Education on the Rice Lake Plains: A Journey from 1870 to Today and Beyond

2014· article· en· W3046058333 on OpenAlexfundaboutno aff
Todd Farrell, Mark Rupke, Mark Stabb

Bibliographic record

VenueLincoln (University of Nebraska) · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicDiverse Educational Innovations Studies
Canadian institutionsnot available
FundersOntario Trillium FoundationMinistry of Natural Resources
KeywordsGeographyAgricultural economicsAgroforestryEnvironmental scienceArchaeologyEconomics
DOInot available

Abstract

fetched live from OpenAlex

Project Prairie began in 2011 as a curriculum-linked integrated environmental studies program to showcase the Rice Lake Plains (RLP), a tallgrass prairie landscape of sandy rolling hills located at the eastern extent of the Oak Ridges Moraine in southern Ontario. Project Prairie provides educators both indoor and outdoor activities that support their curriculum and share the story of the RLP. Project Prairie provides teacher and student resources that focus on the RLP from the mid-nineteenth century to present day. Learning objectives of Project Prairie are developed from the subjects of science, social science, language arts, geography, history, and Aboriginal culture. Additional educational resources that have been produced include a puppet show, maps, an educational booklet with poster, species at risk cards, species at risk booklet, magnets, and a website. The curriculum material can be used on smart boards, thereby giving students the most up-to-date educational experience. Project Prairie grew from successful work completed by Alderville First Nation Black Oak Savanna (ABOS) and other partners in the Rice lake Plains Joint Initiative (RLPJI). The Nature Conservancy of Canada (NCC) forged the multi-partner RLPJI in 2002 to raise awareness and work collaboratively to restore tallgrass prairie and savanna habitats on a landscape scale. To date, the partnership has grown to ten organizations that help deliver Project Prairie to students across the RLP.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.653
Threshold uncertainty score0.422

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)0.0000.000

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 head0.025
GPT teacher head0.222
Teacher spread0.197 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2014
Admission routes2
Has abstractyes

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