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Record W1977246370 · doi:10.1139/z11-069

Spatial and behavioral changes by red foxes (<i>Vulpes vulpes</i>) in response to artificial territory intrusion

2011· article· en· W1977246370 on OpenAlexvenueno aff
Janosch Arnold, Carl D. Soulsbury, Stephen Harris

Bibliographic record

VenueCanadian Journal of Zoology · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Vocal Communication and Behavior
Canadian institutionsnot available
FundersDeutscher Akademischer Austauschdienst
KeywordsVulpesBiologyHome rangeIntrusionEcologyRange (aeronautics)ZoologyHabitatPredation

Abstract

fetched live from OpenAlex

Urine marking is thought to play a pivotal role in territory demarcation by red foxes ( Vulpes vulpes (L., 1758)), but little is known about how individuals respond to alien scent marks, and whether there are sex-related differences in territorial defense. We radio-tracked dominant male and female urban foxes before and after synthetic fox urine was applied to approximately a third of their territories and compared spatial and behavioral reactions both before and after scent application and with foxes on territories where no urine was applied. Home-range boundaries of male foxes shifted towards the scent-marked area, but this change did not affect the total territory size. Larger males shifted their home ranges to a greater degree than small males. Scent application did not affect total activity, but males spent more time in the scent-marked area. Behaviors such as distance moved per night and speed of movement did not differ before and after application, but foxes searched a greater percentage of their home range each night following scent marking. Females showed no significant spatial or behavioral response to the synthetic scent marks. Overall, responses of foxes to synthetic scent marks were male-biased and related to changes in space use rather than movement behaviors.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.755
Threshold uncertainty score1.000

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 head0.036
GPT teacher head0.272
Teacher spread0.236 · 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 designBench or experimental
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

Citations36
Published2011
Admission routes1
Has abstractyes

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