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Record W2025774351 · doi:10.1080/1059924x.2011.605713

Potential of a Quarter Individual Milking System to Reduce the Workload in Large-Herd Dairy Operations

2011· article· en· W2025774351 on OpenAlex
Martina Jakob, Falk Liebers

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Agromedicine · 2011
Typearticle
Languageen
FieldPsychology
TopicErgonomics and Musculoskeletal Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMilkingWorkloadHerdWork (physics)Quarter (Canadian coin)Operations managementAutomatic milkingEngineeringAnimal scienceComputer scienceGeographyLactationBiologyIce calvingMechanical engineering

Abstract

fetched live from OpenAlex

Large-herd dairy operations utilize parlor milking systems that reduce the physical workload in comparison to tethering systems. Nevertheless, the number of musculoskeletal disorders among workers on dairy farms is not decreasing. In response, a study was carried out to measure the workload focusing on the impact of working height and weight of the milking unit. In this article a new quarter individual milking unit without claw and using single-tube guidance is compared with a light (1.4 kg) conventional unit. A significant reduction of muscular load as well as the reduction of process time was measured using the quarter individual system. Body posture was also recorded using video-based motion analysis. Based on these results, the new system is expected to significantly improve the work place in modern milking parlors by reducing extreme postures as well as the physical and static musculoskeletal load.

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.

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 score0.861
Threshold uncertainty score0.270

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 head0.288
Teacher spread0.268 · 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