MétaCan
Menu
Back to cohort
Record W2228106191 · doi:10.3233/wor-2010-1008

Musculoskeletal symptoms in tree planters in Ontario, Canada

2010· article· en· W2228106191 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueWork · 2010
Typearticle
Languageen
FieldEngineering
TopicForest Biomass Utilization and Management
Canadian institutionsQueen's University
FundersWorkplace Safety and Insurance Board
KeywordsMedicineDemographicsPhysical therapyMusculoskeletal painBack painDemographyAlternative medicine

Abstract

fetched live from OpenAlex

UNLABELLED: Tree planting is extremely physical, seasonal, repetitive work with high risk for musculoskeletal injuries. OBJECTIVES: (1) To assess musculoskeletal symptoms in tree planters as they develop over the course of the planting season. (2) To investigate the effect of pre-season level of physical activity on development of musculoskeletal symptoms. PARTICIPANTS: 132 tree planters from two reforestation camps participated in the study. METHODS: Three questionnaires were completed prior to the first work day of the planting season. Questionnaires included the International Physical Activity Questionnaire, a body map to report areas of musculoskeletal symptoms (MSS questionnaire), and a series of questions about planter demographics. A subset of study participants (n=14) also completed the MSS questionnaire each work shift during the planting season. Musculoskeletal symptoms in each area of the body were compared pre-and-post season using a paired t-test on data from the MSS questionnaire. RESULTS AND CONCLUSIONS: Areas of the body with the greatest amount of musculoskeletal pain and discomfort were the feet, wrists and back, whereas areas with the highest frequency of reported pain were the upper, middle and lower back. Musculoskeletal symptoms worsened significantly over the course of the work season. Pre-season level of physical activity could not be correlated with development of musculoskeletal symptoms.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score0.277

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.003
GPT teacher head0.166
Teacher spread0.163 · 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