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Record W1715098042 · doi:10.3233/oer-2005-5204

Structural anthropometric measurement of Atlantic offshore workers

2005· article· en· W1715098042 on OpenAlexaff
Tara Reilly, John W. Kozey, Chris Brooks

Bibliographic record

VenueOccupational Ergonomics · 2005
Typearticle
Languageen
FieldPsychology
TopicErgonomics and Musculoskeletal Disorders
Canadian institutionsDalhousie University
Fundersnot available
KeywordsWaistSubmarine pipelineAnthropometryCircumferenceSignificant differenceMarine engineeringAeronauticsEngineeringMedicineStatisticsMathematicsBody mass indexGeometryGeotechnical engineering

Abstract

fetched live from OpenAlex

This study provides information on structural dimensions of offshore workers with and without a helicopter passenger suit. Forty-one structural measures, with and without a helicopter passenger suit, were obtained from 42 subjects (38 M, 4 F). The structural dimensions of the subjects demonstrate an increase with suit, circumferences increased by as much as 246 mm, vertical measures (stature) increased by 14 mm to 41 mm, and horizontal measures (breaths) increased by 15 mm to 37 mm. The difference (suit vs. no suit) in waist circumference is less for a larger subject compared to a smaller subject indicating suit sizes need further consideration.

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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.000

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 head0.037
GPT teacher head0.313
Teacher spread0.276 · 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

Citations6
Published2005
Admission routes1
Has abstractyes

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