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Record W3040093973 · doi:10.1111/mms.12710

Maternal behaviors of gray whales (<i>Eschrichtius robustus</i>) on a summer foraging site

2020· article· en· W3040093973 on OpenAlexaff
Rianna E. Burnham, David A. Duffus

Bibliographic record

VenueMarine Mammal Science · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsForagingBeluga WhaleBiologyPredationHabitatWeaningEcologyGeographyAnimal scienceArctic

Abstract

fetched live from OpenAlex

Abstract The weaning period for gray whale ( Eschrichtius robustus ) calves is important for maternal instruction and learning. We examined observational and acoustic data from a foraging site for evidence of calf development and mother‐young information transfer. Site survey data demonstrated an initial prioritization of calf protection by using shallow shoreline areas. Foraging in more open water was only noted in late summer, perhaps an indicator of the maturation of the calf. Other indicators of development were found in acoustic recordings made over two summers. Motherese call types have been reported from recordings made in breeding lagoons, but have not before been described outside of calving regions. They were present in recordings from this study site, predominantly in the early summer and not heard past late July. We suggest vocal repertoire may evolve as the calf ages, and more adult calling behaviors eventually replace motherese. Long‐term mark‐recapture analyses demonstrated a high return of calves to the area to forage in summers subsequent to weaning, suggesting maternally inherited prey preference and site use behaviors. From our findings we suggest a calf's first summer is a highly critical period for development and may be formative in shaping future behaviors and habitat use patterns.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.003
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.022
GPT teacher head0.241
Teacher spread0.220 · 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 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

Citations9
Published2020
Admission routes1
Has abstractyes

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