ArticleMonthly labor review2025
Describing the U.S. oil and gas extraction workforce with public data.
Article in Monthly labor review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Understanding internal and external influences on seat belt use in the oil and gas extraction industry.Journal of safety research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
This article serves as a primer for researchers interested in estimating the size, characteristics, dynamics, and distribution of the oil and gas extraction (OGE) workforce using public data. The OGE workforce changes with shifts in energy markets and technology, and accurate OGE workforce estimates are important for assessing workforce needs, understanding injury and illness patterns, and measuring impacts of energy production on local economies. This article provides contextual information about the industry's structure, establishment types, and corresponding federal classification codes and presents descriptive workforce statistics from several sources, with emphasis on the differences between lead employers, who coordinate production, and specialized employers, who support and contract with the lead employers. Finally, this article also discusses the relationships between industry employer and workforce characteristics and observed variation in injury and illness rates.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.