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Record W3047594218

Manitoba Tall Grass Prairie Preserve: Providing Habitat for Protected and Provincially Rare Species

2014· article· en· W3047594218 on OpenAlexaboutno aff
Christie L. Borkowsky

Bibliographic record

VenueLincoln (University of Nebraska) · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotany, Ecology, and Taxonomy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHabitatRare speciesGeographyEcologyAgroforestryEnvironmental scienceBiology
DOInot available

Abstract

fetched live from OpenAlex

The establishment of the Manitoba Tall Grass Prairie Preserve in 1989 secured some of the largest and highest quality parcels of tall grass prairie remaining in the province. Shortly after securement by either Nature Manitoba (formerly Manitoba Naturalists Society) or Manitoba Habitat Heritage Corporation, seasonal staff from the Critical Wildlife Habitat Program (CWHP) began inventory efforts to document the various floral and faunal species occurring on these acquisitions. With the addition of the Nature Conservancy of Canada to the Preserve partnership, the Preserve has grown in size to nearly 5,000 ha. The list of species identified on the Preserve has also increased. To date, over 900 species have been documented for the area, several of which are considered rare and have been listed under the federal Species At Risk Act (SARA), the Manitoba Endangered Species Act (MB-ESA) and in a few cases, both acts. The Preserve also provides habitat for many provincially rare species, some of which have very limited distributions (Manitoba Conservation Data Centre 2012). Rarity of a species is assessed and assigned a provincial conservation status rank known as the S-rank (Manitoba Conservation Data Centre 2012).

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score0.896

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 studies0.0010.000
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 head0.027
GPT teacher head0.183
Teacher spread0.157 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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