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Record W1967941336 · doi:10.2527/jas.2006-050

Effect of environmental enrichment at two stages of development on belly nosing in piglets weaned at fourteen days1

2006· article· en· W1967941336 on OpenAlexaff
C.J. Bench, H. W. Gonyou

Bibliographic record

VenueJournal of Animal Science · 2006
Typearticle
Languageen
FieldVeterinary
TopicAnimal Behavior and Welfare Studies
Canadian institutionsGenome PrairieUniversity of Saskatchewan
Fundersnot available
KeywordsAnimal scienceNuisanceBitingBiologyEnvironmental enrichmentVeterinary medicineMedicineEcology

Abstract

fetched live from OpenAlex

The incidence of belly nosing-related behaviors was studied in 480 piglets weaned at 14 d and provided with environmental enrichment during preweaning, postweaning, or both. Pen enrichment was achieved by providing a foam rubber mat on the pen wall (nose), rubber nipples (suck), a Bite-Rite Tail Chew (bite), a soil-filled tray (root), or no enrichment (control). Instantaneous scan sampling observations, at 5-min intervals, were conducted for 8 h (i.e., 96 scans/observation day) at 3, 10, 19, 26, and 33 d. Observations during the preweaning phase were made to determine the number of piglets lying, standing, nursing, and interacting with environmental enrichment. During the postweaning phase, observations were made to determine the number of piglets belly nosing, belly sucking, other nosing and sucking (other), biting, eating, drinking, and interacting with enrichment. The time-course for belly nosing was confirmed, with the behavior rising by 19 d, peaking by 26 d, and decreasing by 33 d (P < 0.001). Only nosing enrichment was found to reduce the incidence of belly-nosing behavior (3.8%) compared with controls (6.6%; P < 0.001). Pigs provided root enrichment spent more time manipulating their enrichment devices (30.2%) compared with all other enrichment groups (P < 0.001). Providing enrichment relevant to a particular behavioral vice as it commences, or shortly afterward, may have the greatest effect on reducing the incidence of that vice during the nursery period.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.432
Threshold uncertainty score0.497

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.020
GPT teacher head0.312
Teacher spread0.292 · 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

Citations26
Published2006
Admission routes1
Has abstractyes

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