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Record W1982066936 · doi:10.4141/cjas07083

The behaviour of early-weaned piglets following transport: Effect of season and weaning weight

2008· article· en· W1982066936 on OpenAlexvenueno aff
S. Wamnes, N. J. LEWIS, R. J. Berry

Bibliographic record

VenueCanadian Journal of Animal Science · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsWeanlingWeaningAnimal scienceRoad transportBiologyEndocrinology

Abstract

fetched live from OpenAlex

Two groups of 48 Cotswold piglets were weaned at 17 ± 1 d of age and assigned to road or simulated transport during summer or winter. Following transport (0, 6, 12 or 24 h), piglets were grouped by weaning weight (light, medium and heavy) in pens of four. Piglet behaviour was recorded on days 1–4, 7 and 14 after weaning and transport. As transport duration increased, drinking behaviour increased (P < 0.05). Control (0 h) piglets fed less (1.5%) than transported piglets (3.1%) during the first 3 d in housing. Significant differences were observed on days 2 and 3 only (P < 0.02). Across season and transport treatment, heavy piglets spent more time fighting (P < 0.005) during the first day in housing, and less time feeding (P < 0.05) during the first 3 d in housing compared with light and medium piglets. During the first 3 d in weanling pens, piglets spent less time feeding following road transport (2.4%) than following simulated transport (2.9%, P < 0.05). Piglets transported by road also spent more time engaged in oral/nasal behaviour during the first 3 d in housing compared with simulated transport groups, although this reached significance on day 3 only (P < 0.05). These results suggest that transport of early-weaned piglets may exacerbate the stress of weaning through additional stress related to factors associated with truck movement, such as noise and vibration, and by imposing an increased risk of dehydration following long journeys (> 12 h). Key words: Early weaning, transport, pigs, behaviour, season

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 score0.723
Threshold uncertainty score0.370

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 studies0.0000.001
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 head0.013
GPT teacher head0.212
Teacher spread0.199 · 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

Citations18
Published2008
Admission routes1
Has abstractyes

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