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Related Concept Videos

Applications of Life Tables01:22

Applications of Life Tables

Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
Quantifying Work02:30

Quantifying Work

As a system undergoes a change, its internal energy can change, and energy can be transferred from the system to the surroundings, or from the surroundings to the system.
Power01:08

Power

The concept of work involves force and displacement; meanwhile, the work-energy theorem relates the net work done on a body to the difference in its kinetic energy, calculated between two points on its trajectory. While none of these quantities or relations involves time explicitly, we know that the time available to accomplish work is often just as important as the amount of work itself. For example, sprinters in a race may have achieved the same velocity at the finish, therefore,...
Energy and Power Signals01:17

Energy and Power Signals

In an electrical system with a resistor, voltage and current signals facilitate the measurement of power and energy across the resistor. For a continuous-time signal, the total energy over a time interval is defined as the integral of the square of the signal's magnitude over that interval. Mathematically, this is expressed as:
Outliers and Influential Points01:08

Outliers and Influential Points

An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the vertical...
Residual Plots01:07

Residual Plots

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Related Experiment Video

Updated: May 12, 2026

Electromyometrial Imaging of Uterine Contractions in Pregnant Women
08:07

Electromyometrial Imaging of Uterine Contractions in Pregnant Women

Published on: May 26, 2023

Predictive Numbers: Labor, Data, and Power in the U.S. Oil Industry.

Sarah Stanford-Mcintyre

    Technology and Culture
    |May 11, 2026
    PubMed
    Summary
    This summary is machine-generated.

    The U.S. oil industry was crucial for developing predictive, numerical methods. Geophysical work and seismic techniques transformed subsurface knowledge, laying foundations for computational practices and numerical authority.

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    Last Updated: May 12, 2026

    Electromyometrial Imaging of Uterine Contractions in Pregnant Women
    08:07

    Electromyometrial Imaging of Uterine Contractions in Pregnant Women

    Published on: May 26, 2023

    Area of Science:

    • History of Science and Technology
    • Labor History
    • History of Computing

    Background:

    • Histories of data and computing often overlook extractive industries.
    • The U.S. oil industry's role in developing numerical methods is under-examined.

    Purpose of the Study:

    • To demonstrate the U.S. oil industry's foundational role in the rise of predictive, numerical ways of knowing.
    • To trace the transformation of subsurface knowledge from sensory labor to computational forms.

    Main Methods:

    • Drawing on labor history, history of science and technology, and data visualization.
    • Analyzing the impact of seismic techniques on workplace hierarchies and expertise.

    Main Results:

    • Seismic techniques reorganized workplace hierarchies and displaced experiential expertise.
    • The oil industry expanded white-collar analytical labor and became a site for early computational practice.
    • Subsurface knowledge transformed from embodied, sensory labor to abstracted, numerical forms.

    Conclusions:

    • The U.S. oil industry served as an institutional foundation for numerical authority.
    • The industry was critical in the development of early computational practices and predictive, numerical knowing.