ArticleslgStudy

science

Knowledge production modes

Knowledge production modes is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Knowledge production modes rather than just read about it. In short: A knowledge production mode is a term from the sociology of science which refers to the way (scientific) knowledge is produced. So far, three modes have been conceptualized.

Key takeaways

  • Knowledge production modes belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Knowledge production modes to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Knowledge production modes from memory before moving on to harder problems.

Reference excerpt

A knowledge production mode is a term from the sociology of science which refers to the way (scientific) knowledge is produced. So far, three modes have been conceptualized. Mode 1 production of knowledge is knowledge production motivated by scientific knowledge alone (basic research) which is not primarily concerned by the applicability of its findings. Mode 1 is founded on a conceptualization of science as separated into discrete disciplines (e.g., a biologist does not bother about chemistry). Mode 2 was coined in 1994 in juxtaposition to Mode 1 by Michael Gibbons, Camille Limoges, Helga Nowotny, Simon Schwartzman, Peter Scott and Martin Trow. In Mode 2, multidisciplinary teams are brought together for short periods address specific, real-world problems, with the aim of producing knowledge (applied research) within the context of knowledge society. Mode 2 can be explained by the way research funds are distributed among scientists and how scientists focus on obtaining these funds in terms of five basic features: knowledge produced in the context of application; transdisciplinarity; heterogeneity and organizational diversity; social accountability and reflexivity; and quality control. Subsequently, Carayannis and Campbell described a Mode 3 knowledge in 2006.

Development of the concept Gibbons and colleagues argued that a new form of knowledge production began emerging in the mid-20th century that was context-driven, problem-focused and interdisciplinary. It involved multidisciplinary teams that worked together for short periods of time on specific problems in the real world. Gibbons and his colleagues labelled this "Mode 2" knowledge production. He and his colleagues distinguished this from traditional research, labelled 'Mode 1', which is academic, investigator-initiated and discipline-based knowledge production. In support, Limoges wrote, "We now speak of 'context-driven' research, meaning 'research carried out in a context of application, arising from the very work of problem solving and not governed by the paradigms of traditional disciplines of knowledge." John Ziman drew a similar distinction between academic science and post-academic science, and in 2001 Helga Nowotny, Peter Scott and Michael Gibbons extended their analysis to the implications of Mode 2 knowledge production for society.

Conceptual differences between Mode 1 and Mode 2 knowledge Mode 1 is characterized by theory building and testing within a discipline towards the aim of universal knowledge, while Mode 2 is characterized by knowledge produced for application. In the type of knowledge acquired, Mode 1 knowledge is universal law, primarily cognitive, while Mode 2 knowledge is particular and situational, and in Mode 1 data is context free but in Mode 2 contextually embedded. In Mode 1, the knowledge is validated by logic and measurement, together with consistency of prediction and control, while in Mode 2 knowledge is validated by experiential, collaborative, and transdisciplinary processes. In Mode 1, the researcher's role is to be a detached, neutral observer, while in Mode 2 the researcher is a socially accountable, immersed and reflexive actor or change agent.

Mode 3 Carayannis and Campbell describe a Mode 3 knowledge, which emphasizes the coexistence and co-development of diverse knowledge and innovation modes, at the individual (micro or local), structural and organizational (meso or institutional), and systemic (macro or global) levels. It describes mutual interdisciplinary and transdisciplinary knowledge via concepts such as, at the micro level, creative milieus and entrepreneurs and employees, at the meso level, knowledge clusters, innovation networks, entrepreneurial universities, and academic firms, and at the macro level, the quadruple and quintuple innovation helix framework, the "democracy of knowledge" (knowledge within a democratic system), and "democratic capitalism" (capitalism within a democratic system).

Reception While the theory of knowledge production modes and especially the notion of Mode 2 knowledge production have attracted considerable interest, the theory has not been universally accepted in the terms put forth by Gibbons and colleagues. Scholars in science policy studies have pointed to three types of problems with the concept of Mode 2: its empirical validity, its conceptual strength, and its political value. Concerning the empirical validity of the Mode 2 claims, Etzkowitz and Leydesdorff argue that:

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Knowledge production modes

Start with the simplest possible case. Write down what Knowledge production modes claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Knowledge production modes before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Knowledge production modes ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Knowledge production modes

In research
Knowledge production modes appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Knowledge production modes in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Knowledge production modes is common in secondary-school and first-year university syllabi. It links to neighbouring topics Science and technology studies, Sociology of scientific knowledge, so understanding it makes those chapters shorter.
In everyday life
Look for Knowledge production modes outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Knowledge production modes in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Knowledge production modes means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Knowledge production modes out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Knowledge production modes in simple terms?

A knowledge production mode is a term from the sociology of science which refers to the way (scientific) knowledge is produced. So far, three modes have been conceptualized.

Why does Knowledge production modes matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Knowledge production modes?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Knowledge production modes.

Tags

  • Science and technology studies
  • Sociology of scientific knowledge

Keep exploring