Proposal of initial parameters for an anthropometric database of the Honduran working population
Why this work is in the frame
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Bibliographic record
Abstract
In Honduras, Central America, there is a shortage of anthropometric studies conducted in the workplace, making it necessary to establish initial parameters.This research employed a quantitative approach that encompassed three cities: Tegucigalpa, San Pedro Sula, and El Progreso, taking into account 29 variables.Various techniques and tools, including anthropometric tapes and statistical methods, were utilized.The sample consisted of 60 volunteers from the three cities, selected through non-probabilistic convenience sampling.Measurements were collected in designated areas, involving a pilot phase and validation process.Averages calculated for each city highlighted the physical diversity present in the population.The final data provided maximum, minimum, and percentiles (5, 50, and 95) for the ergonomic design of workplaces.These outcomes stress the immediate necessity of anthropometric data in Honduras and endorse further research to enhance adaptability and workplace safety.The precision of pilot testing is of paramount importance.The El Progreso group exhibited distinct differences in 15 measurements.Comparing percentiles among the cities unveiled variations, particularly in stature.Certain measurements were identified as pivotal for ergonomic design.The substantial difference of up to 20 cm from U.S. tables emphasizes the requirement for specific tables in ergonomic studies.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it