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Record W2026851579 · doi:10.1139/z03-156

Fecal testosterone in bighorn sheep (<i>Ovis canadensis</i>): behavioural and endocrine correlates

2003· article· en· W2026851579 on OpenAlexfundvenueno aff
Fanie Pelletier, Joan E. Bauman, Marco Festa‐Bianchet

Bibliographic record

VenueCanadian Journal of Zoology · 2003
Typearticle
Languageen
FieldVeterinary
TopicAnimal Behavior and Welfare Studies
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of AlbertaUniversité de SherbrookeUniversity of CalgaryAlberta Conservation Association
KeywordsOvis canadensisTestosterone (patch)BiologyFecesOvisEndocrine systemAnimal scienceEndocrinologyEcologyHormoneDemographyPopulation

Abstract

fetched live from OpenAlex

Noninvasive endocrine techniques allow repeated sampling of the same individual to study causes and consequences of variation in individual behaviour and physiology. In this study, radioimmunoassay was used to measure fecal testosterone and to assess the repeatability of the testosterone assay for bighorn rams (Ovis canadensis). Fecal samples were collected from marked males during the pre-rut and the rut over 2 years. Results were highly repeatable for samples of the same ram within a day (r = 0.93). Fecal testosterone peaked during the pre-rut (when social relationships are established) and then declined from the pre-rut to the rut. For both years of study, fecal testosterone was correlated with social rank (2001: r = 0.73, P &lt; 0.0001; 2002: r = 0.54, P = 0.007) and age (2001: r = 0.65, P = 0.002; 2002: r = 0.53, P = 0.008) of individual rams. When age was accounted for, however, the relationship between social rank and testosterone was no longer significant. Aggressiveness (measured as hourly interaction rate) was weakly correlated with fecal testosterone (r = 0.44, P = 0.039). There was no association between aggressiveness and social rank (r = 0.13, P = 0.591). To our knowledge, this is the first report of an association between testosterone levels and individual social rank in wild ungulates.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.374
Threshold uncertainty score0.954

Codex and Gemma teacher scores by category

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

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 head0.041
GPT teacher head0.273
Teacher spread0.233 · 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.

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

Citations70
Published2003
Admission routes2
Has abstractyes

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