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Record W7000443949

Exploring the Strategies of First Migration in the Subarctic-Nesting Shorebird, Calidris Alpina Hudsonia

2021· other· en· W7000443949 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCalidrisJuvenilePopulationPopulation declineGenetic data
DOInot available

Abstract

fetched live from OpenAlex

Compared with adult conspecifics, juvenile Dunlin undertaking their first migrations experience higher rates of mortality. Despite the significant impact of juveniles shorebirds on population dynamics, little is known about young birds' maiden migrations. For the first time, we present the migratory strategies of juvenile Dunlin (Calidris alpina hudsonia) during their inaugural journeys to non-breeding grounds using the Motus radio telemetry network. We analyze the migrations of adult Dunlin tracked via the Motus system, and compare strategies between age groups. Juveniles preferentially over-wintered in discrete sections of the Eastern Seaboard – sites exclusive to this age demographic. We also elucidate vital juvenile staging sites in Southeastern Ontario, and potential mortality hotspots within Ontario and Nova Scotia. We postulate genetic influences on the migrations of juveniles. Three novel non-breeding sites of adults were documented, in Colombia, Alaska, and Indiana. We also emphasize the ecological importance of select stopover sites along the Atlantic USA.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.518
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.006
Science and technology studies0.0000.001
Scholarly communication0.0010.004
Open science0.0030.001
Research integrity0.0000.001
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 head0.047
GPT teacher head0.183
Teacher spread0.136 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2021
Admission routes1
Has abstractyes

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