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Record W1821961988

Sevrage précoce et bien-être des porcelets

2000· article· fr· W1821961988 on OpenAlexaboutno aff
Suzanne Robert, Daniel M. Weary, H. W. Gonyou

Bibliographic record

VenueCahiers Agricultures · 2000
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicUrban Agriculture and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Le sevrage precoce avec segregation a ete introduit au Canada pour reduire ou eliminer l’incidence des maladies et ameliorer la productivite. Le systeme compte de plus en plus d’adeptes parmi les producteurs. Un sevrage en bas âge (generalement entre 10 et 21 jours) et l’isolement des porcelets nouvellement sevres dans un bâtiment a l’ecart des truies et des autres animaux constituent les principales caracteristiques du sevrage precoce. Dans cet article, nous decrivons les particularites de ce sevrage avec segregation et presentons les facteurs qui ont contribue a son developpement, puis nous passons en revue quelques-uns des principaux sujets d’inquietudes en matiere de bien-etre relatifs a cette facon d’elever les porcelets. Nous presentons des donnees experimentales qui montrent les effets positifs du sevrage precoce avec segregation sur la sante et la prise ponderale des porcelets mais aussi des experiences qui ont mis en lumiere certains des problemes de bien-etre relies a ce systeme. Nous nous attardons sur les effets du sevrage precoce avec segregation sur le comportement et le bien-etre des porcelets, ainsi que sur certaines autres particularites de cette technique de sevrage telles que les adoptions multiples et le transport des porcelets. En conclusion, nous suggerons des pistes pour les recherches futures et faisons des recommandations aux producteurs.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.343
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.001

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 head0.203
Teacher spread0.196 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations1
Published2000
Admission routes1
Has abstractyes

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