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Record W7115037416

You’ve got a friend in me: Exploration of personality concepts and validation of common personality tests in dairy cattle

2025· dissertation· en· W7115037416 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2025
Typedissertation
Languageen
FieldPsychology
TopicPersonality Traits and Psychology
Canadian institutionsnot available
Fundersnot available
KeywordsPersonalityDairy cattleBig Five personality traits16PF QuestionnairePersonality Assessment InventoryDairy farming
DOInot available

Abstract

fetched live from OpenAlex

Dairy cows play a crucial role in Canada's agricultural sector, with large herd sizes driving high milk production and requiring efficient management strategies.Intensive housing systems optimize productivity but limit natural behaviours, raising welfare concerns.Social enrichment, particularly relevant for these highly gregarious animals, has been proposed to enhance well-being by promoting affiliative behaviours and reducing stress.However, the effectiveness of enrichment may vary among individuals, as cows display consistent behavioural patterns across time and contexts-referred to as personality-which shape their responses to enrichment.Despite growing interest in animal personality, research on dairy cattle remains limited, leaving the relationship between personality and enrichment largely unexplored.The scoping review synthesized existing literature on dairy cattle personality and its influence on responses to social enrichment, where 34 articles were included following PRISMA guidelines.In personality research, traits refer to consistent individual tendencies inferred from observable behaviour, while dimensions represent broader personality constructs formed by grouping related traits.The initial findings indicated that the reviewed articles failed to establish a clear framework linking behaviours to personality traits and organizing them into personality dimensions, overlooking the interdependence and contextual variability of traits.To address this, frameworks were developed based on the relationships identified in the articles, aiming to explore potential links between personality and behaviour.However, due to the limited number of long-term studies, the absence of short-term consistency assessments, and a narrow focus on isolated traits rather than broader personality dimensions, the findings may not be fully valid or reliable for personality identification.Behavioural patterns were rarely measured repeatedly or across varied contexts-both of which are essential for establishing stable personality traits.To further investigate this gap, an experimental study was conducted involving dairy cows, designed to assess the reliability and validity of behavioural tests commonly used to measure animal personality.Five behavioural tests-the Human Approach Test, Sudden Test, Novel Object Test, Open Field Test, and Novel Surface Test-were selected for validation in this animal trial.Their short-and mid-term consistency was assessed across three time periods, with comparisons made to identify consistent behavioural expressions across different contexts.Cows' behavioural reactions to test stimuli were recorded.Our findings suggest that the Sudden Test may be a reliable tool for measuring personality traits, as it demonstrated consistent individual behaviours

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.024
metaresearch head score (Gemma)0.055
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.024
Threshold uncertainty score0.126

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.055
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.004
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.055
GPT teacher head0.353
Teacher spread0.299 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2025
Admission routes1
Has abstractyes

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