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Record W1527553690 · doi:10.22621/cfn.v122i2.568

Decline of Two Open Champlain Sea Dune Systems in Eastern Ontario and Their Characteristic and Restricted Plants and Insects

2008· article· en· W1527553690 on OpenAlexafffundvenueabout
Paul M. Catling, Henri Goulet, Brenda Kostiuk

Bibliographic record

VenueThe Canadian Field-Naturalist · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotany, Ecology, and Taxonomy Studies
Canadian institutionsAgriculture and Agri-Food Canada
FundersNatural Resources CanadaMinistry of Natural Resources
KeywordsFaunaBiodiversityHabitatGeographyFlora (microbiology)EcologyEcosystemBiologyPaleontology

Abstract

fetched live from OpenAlex

Open sandy areas have existed for hundreds or thousands of years in eastern Ontario but they have declined to approximately 1% of their former extent over the last 60-70 years. The history and decline of this unusual habitat, and its consequences for protection of biodiversity, are explored through reference to historical documents and collections as well as current surveys using two exemplary sites: Slack Road south of Ottawa and Crystal Rock in Edwardsburgh Township north of Prescott. Planting trees to eliminate these open areas, before their biodiversity value was understood, is a primary cause of the decline, but cessation of fire, invasive species and urban development have also been contributing factors. The two exemplary areas have a very similar flora and fauna and collectively contain at least five provincially rare and 65 regionally rare species, many of which are dependent on dry, open, inland sand deposits not directly associated with rivers or lakes. Based on the present rate of decline, these sandy habitats, along with their specialized flora and fauna, may be gone in a decade or two. On the other hand, the biodiversity-rich remnants could serve as nuclei for the recolonization of a restored ecosystem.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.025
Threshold uncertainty score0.115

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.002
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.048
GPT teacher head0.225
Teacher spread0.177 · 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 source (direct Gemma or distilled Codex), 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 routes4
Has abstractyes

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