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Record W1563530613

The phylogeography, post-glacial expansion and systematics of the purple finch (Carpodacus purpureus)

2014· dissertation· en· W1563530613 on OpenAlexfundno aff
Colin Bran Alexander Macfarlane

Bibliographic record

VenueOpen ULeth Scholarship (OPUS) (University of Lethbridge) · 2014
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic diversity and population structure
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaAlberta InnovatesUniversity of Lethbridge
KeywordsSubspeciesPhylogeographyBiologyBiological dispersalGene flowGlacial periodGenetic structureEcologyFinchGenetic variationZoologyEvolutionary biologyPhylogeneticsPopulationDemographyPaleontologyGeneticsGene
DOInot available

Abstract

fetched live from OpenAlex

Using a combination of mitochondrial and z-linked sequence data, microsatellites and spatio-geographical modelling, I examine the historical and contemporary factors influencing the genetic structure of the purple finch (Carpodacus purpureus). The last glacial maximum likely forced the purple finch into multiple refugia: on the Pacific Coast, in south-western United States, and off the Atlantic shelf. The two subspecies remain distinct lineages, with little evidence of gene flow between C. p. purpureus and C. p. californicus. The contact zone between subspecies appears in south-western British Columbia. As C. p. purpureus expanded from their refugia following a stepping-stone model, eastern and western populations came into secondary contact, resulting in extensive admixture. Contemporary levels of gene flow between populations are low with at least five genetic clusters, likely due to high site fidelity and morphological variation upon which mate selection occurs. Physical barriers do not appear to affect dispersal of the purple finch.

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 score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.233
Teacher spread0.223 · 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
Published2014
Admission routes1
Has abstractyes

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