Related Experiment Video
Updated: Jul 22, 2026

08:38
Combined Size and Density Fractionation of Soils for Investigations of Organo-Mineral Interactions
Published on: February 15, 2019
How fields vary.
1Department of Sociology, London School of Economics.
The British Journal of Sociology
|April 7, 2017
Summary
This study proposes a framework for analyzing variations in scientific fields, focusing on autonomy, structure, and scale. Developing a richer vocabulary for field properties enhances comparative analysis and hypothesis generation.
Area of Science:
- Sociology of Scientific Knowledge
- Field Theory
- Science and Technology Studies (STS)
Background:
- Field theorists emphasize studying unique properties of each research field.
- Existing comparative research lacks a nuanced vocabulary to describe field similarities and differences.
- Scholarly attention to the dimensions of field variation is a recent development.
Purpose of the Study:
- To articulate an agenda for analyzing variable properties of scientific fields.
- To introduce a more fine-tuned vocabulary for describing field characteristics.
- To establish a precondition for generating hypotheses about field variations.
Main Methods:
- Conceptual analysis and synthesis of existing field theory research.
- Identification and discussion of key dimensions of field variation.
- Exploration of sub- and transnational scales in field analysis.
Main Results:
- Identified dimensions of variation include field autonomy (degree and kind), contestation, and hierarchy.
- Highlighted that the structure of symbolic oppositions within fields can vary significantly.
- Demonstrated how sub- and transnational analyses reveal inter-field relations and resource influences across scales.
Conclusions:
- A more precise vocabulary for field variation is crucial for accurate description of specific fields.
- This enhanced vocabulary facilitates the development of testable hypotheses regarding field characteristics.
- Comparative analysis across different scales (sub-national, transnational) enriches understanding of field dynamics.
Related Concept Videos
Variation: Normal Distribution, Range, and Standard Deviation
In the field of psychology, there are several ways to organize measurements of a trait, feature, or characteristic (i.e., variables). Qualitative data, such as ethnicity, can be tabulated into a frequency count to provide information about the proportion, as well as the variety of groups in a sample or population. On the other hand, researchers can perform a wider set of calculations on quantitative data. The mean, mode, and median, for instance, are central tendency measures to identify a...
What is Variation?
Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
Variability: Analysis
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
The range is a simple measure of variability, indicating the difference between the highest and...
Field Procedure for Staking Out Curves
Staking out curves is an essential process in construction to ensure the accurate alignment of structures along a curved path. This task involves positioning stakes at calculated locations corresponding to the curve's design, effectively translating plans into physical markers in the field. The process begins by determining the geometric parameters of the curve, including the radius, central angle, and tangent distances. These parameters are critical for identifying key points such as the Point...
Introduction to Vector Fields
Vector fields provide a mathematical framework for describing quantities that possess both magnitude and direction at every point in space. Physical phenomena such as wind flow, ocean currents, magnetic forces, and fluid motion can all be represented using vector fields. In meteorology, for example, wind may vary continuously across a geographic region, with both speed and direction changing from one location to another. To visualize this behavior on a two-dimensional map, arrows are placed at...
Gradient Fields
A gradient field is a vector field derived from a scalar field. A scalar field assigns a single numerical value to every point in space, such as temperature, pressure, or electric potential. The gradient field describes how that value changes from point to point. It gives both the direction of the fastest increase and the rate of change in that direction.For a scalar field f(x, y), the gradient is written as\begin{equation*}\nabla f=\left\langle \jfrac{\partial f}{\partial x},\jfrac{\partial...

