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Record W4386200419

Acadian biospeleology: composition and ecology of cave fauna of Nova Scotia and southern New Brunswick, Canada.

2007· article· en· W4386200419 on OpenAlexaboutno aff
Moseley Max

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInvertebrate Taxonomy and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsNova scotiaCaveFaunaEcologyGeographyComposition (language)Nova (rocket)ArchaeologyBiologyArtEngineering
DOInot available

Abstract

fetched live from OpenAlex

The vertebrate and invertebrate fauna, environment and habitats of caves and disused mines in Nova Scotia and southern NewBrunswick are provisionally catalogued and described, based on field collections made over many years. The area was glaciatedand the subterranean fauna consists of non-troglobites all of which have arrived and colonised the caves during or following finalrecession of the Pleistocene glaciers. The statistical composition of the fauna at the higher taxonomic level is similar to that inOntario, but is less species rich and there are some notable ecological and other differences. Porcupine dung accumulations are animportant habitat in the region, constituting a cold-temperate analogue of the diverse guano habitats of southern and tropical caves.Parietal assemblages are, as in other cold temperate regions, an important component of the invertebrate fauna but here includespecies derived directly from dung communities: another parallel with tropical guano caves. An unanticipated finding is the numberof non-indigenous species now utilising local caves. These appear to have colonised unfilled ecological niches, suggesting thatpost-glacial recolonisation of the subterranean habitat in Nova Scotia has been relatively delayed. Finally the general and regionalsignificance of the subterranean fauna is briefly discussed.

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)0.000
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 score0.018
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.112
GPT teacher head0.404
Teacher spread0.292 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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