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Record W2152979503 · doi:10.22621/cfn.v122i1.544

Distribution and History of Naturalized Common Pear, <em>Pyrus communis</em>, in Ontario

2008· article· en· W2152979503 on OpenAlexaffvenueabout
Paul M. Catling, Gisèle Mitrow

Bibliographic record

VenueThe Canadian Field-Naturalist · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotany, Ecology, and Taxonomy Studies
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsWoodlandBiological dispersalGeographyHabitatEcologyIntroduced speciesPyrus communisNative plantBiologyPopulation

Abstract

fetched live from OpenAlex

Considered rare or entirely overlooked until 1998, Pyrus communis is currently widespread and locally abundant as an escape from cultivation in southern Ontario. It was first noticed growing wild in Elgin County in 1949 and up until 1965 it was known as a wild plant only in the eastern Lake Erie region. It was first reported in the eastern Lake Ontario region in 1969 and is now widespread and locally abundant there. It now occurs north to the Georgian Bay region, and southwest to Essex County. Since it has had a very effective and rapid dispersal system for centuries as a result of cultivation and discarded cores, the apparently recent spread may be a consequence of climate warming extending the area within which it can grow wild, otherwise it would have escaped much earlier. It occurs in old fields and along fences within agricultural landscapes, but has been recorded in native woodland, prairie and alvar habitats. It dominates abandoned fields and pasture in some areas and may also increase in certain natural habitats and compete with native species. It is, however, less aggressive than some other alien woody plants and provides abundant food in the form of pollen, nectar and fruit during the early stages of old field succession. Spread is believed to be mostly by humans, but Racoons, deer, and other small mammals may be important in local dispersal.

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 score0.328
Threshold uncertainty score0.560

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.204
Teacher spread0.174 · 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

Citations2
Published2008
Admission routes3
Has abstractyes

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