MétaCan
Menu
Back to cohort

OCCURRENCE, COMPOSITION, AND POTENTIAL FUNCTIONS OF NORTH ATLANTIC RIGHT WHALE (<i>EUBALAENA GLACIALIS</i>) SURFACE ACTIVE GROUPS

2007· article· en· W2064369311 on OpenAlexfundno aff
Susan E. Parks, Moira W. Brown, Lisa A. Conger, Philip K. Hamilton, Amy R. Knowlton, Scott D. Kraus, Christopher K. Slay, Peter L. Tyack

Bibliographic record

VenueMarine Mammal Science · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsnot available
FundersFisheries and Oceans CanadaNational Marine Fisheries ServiceNational Defense Science and Engineering GraduateWoods Hole Oceanographic InstitutionU.S. Department of Defense
KeywordsRight whaleWhaleJuvenileBiologyCetaceaZoologyMarine mammalMatingComposition (language)Ecology

Abstract

fetched live from OpenAlex

Abstract Marine mammal social interactions are poorly understood primarily because of the difficulty of observing these behaviors in the wild. Observations of copulations in North Atlantic right whale surface active groups (SAGs) have led to the hypothesis that the function of these groups is for conception. The occurrence and composition of SAGs sighted from 1992 to 2001 were investigated on the basis of age, sex, and reproductive status of individuals. A total of 918 SAG events were documented. SAGs were observed in all habitat areas and in all months in which right whales were sighted. Group compositions revealed both potentially conceptive groups and nonconceptive groups. Of right whales whose age was known, 93% were first sighted in SAGs as juveniles, and more than half of all observed groups contained at least one juvenile whale. The group composition and timing of occurrence of SAGs do not support the hypothesis that all groups serve a purely conceptive function. Their functional role is likely much broader. Other potential functions include play, mating practice, or maintenance of social bonds.

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)0.001
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 score0.031
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0000.002
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 head0.007
GPT teacher head0.214
Teacher spread0.207 · 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

Citations38
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueMarine Mammal ScienceSame topicMarine animal studies overviewFrench-language works237,207