For over two centuries, social sciences operated on a confident belief: through reason, observation, and rigorous method, scholars could uncover universal truths about how societies work. Then came post-modernism. By the late twentieth century, a wave of thinkers dismantled the pillars that sociology, political science, and anthropology had stood on, arguing that so-called objective knowledge was neither neutral nor universal. This philosophical storm did not merely add new theories to the shelf. It cracked the very foundations of the disciplines, triggering what many now call a crisis of knowledge in the social sciences.

Table of Contents

The Enlightenment inheritance that post-modernism attacked

To understand the crisis, one has to first understand what was being challenged. Social sciences are largely products of the Enlightenment, built on ideals of reason, progress, and the belief that human society could be studied with the same objectivity as the natural world. Scholars have long noted that the social sciences are still predominantly modernist disciplines, and therefore recent challenges to Enlightenment thinking carry with them the potential to transform these fields radically.

Modernist sociology, from Marx to Durkheim to Weber, sought to explain social order and change through systematic frameworks. The assumption was simple but powerful: there is a knowable social reality, and trained researchers can describe it accurately. Post-modernism rejected this premise at its root.

What exactly is the “crisis”?

The crisis refers to a loss of confidence in three foundational ideas: objective truth, universal narratives, and scientific progress. Academic surveys of the field show that for both critics and defenders, post-modernism became associated with a belief in a crisis of representation, the abandonment of correspondence theories of truth, universal reason, and unitary schemas of progress inherited from the Enlightenment.

Lyotard and the death of grand narratives

If one text captures the crisis, it is Jean-Franรงois Lyotard’s The Postmodern Condition, published in 1979. In this work Lyotard introduced the term ‘postmodernism’ into philosophy and social sciences with the now-famous formulation that defines postmodern as incredulity towards metanarratives.

Metanarratives, or grand narratives, are the overarching stories that modernity used to legitimize itself. Marxism promised liberation through class struggle. Liberalism promised progress through rational markets and democratic reason. Enlightenment science promised emancipation through cumulative knowledge. Each claimed to explain everything, from why societies change to where history is heading.

Lyotard argued these stories had lost credibility. Philosophers summarising his position note that he saw the two most important metanarratives of the past as the story of history progressing towards social enlightenment and emancipation, and the story of knowledge progressing towards totalisation. Modernity was the age of metanarrative legitimation, while postmodernity was the age in which metanarratives had become bankrupt.

From big stories to small narratives

Post-modernism replaces grand narratives with what Lyotard called a plurality of language-games and mini-narratives. Knowledge becomes local, contextual, and fragmented. An Adivasi community’s understanding of land, a feminist critique of labour, a Dalit reading of history, or a queer interpretation of the family are no longer treated as footnotes to a larger “scientific” explanation. They stand on their own terms.

This pluralism has a liberating dimension, but it also destabilises the entire project of social science. If every narrative is valid within its own context, how can any sociologist claim their explanation is better than another? Critics point out that The Postmodern Condition has often been interpreted as an excuse for unbounded relativism, which for many has become a hallmark of postmodern thought.

Foucault and the entanglement of power and knowledge

While Lyotard questioned grand stories, Michel Foucault went after a deeper target: the idea that knowledge could ever be separated from power. His concept of power-knowledge is one of the most disruptive contributions to social theory in the last fifty years.

Foucault rejected the idea that truth is discovered through neutral inquiry. As commentators explain, in his understanding power is based on knowledge and makes use of knowledge, while power also reproduces knowledge by shaping it in accordance with its anonymous intentions. Power creates and recreates its own fields of exercise through knowledge. A fundamental goal in many of Foucault’s works was to show how that which has traditionally been considered absolute, universal, and true is in fact historically contingent.

Truth as a regime, not a discovery

Consider how categories like “criminal,” “mentally ill,” “normal,” or even “citizen” came into being. Foucault argued that sciences such as psychiatry, biology, medicine, economics, psychoanalysis, psychology, sociology, ethnology, pedagogy, and criminology have all categorized behaviours as rational, irrational, normal, abnormal, human, and inhuman. These categories are not neutral descriptions of reality. They are products of institutions with the power to classify, and they in turn produce new forms of control.

For the social sciences, this was a body blow. Sociology had long prided itself on being the science that exposes ideology. Foucault suggested that sociology itself is a form of power-knowledge, shaping the very subjects it claims to study. His philosophical work asked what, in the apparently necessary, might be contingent, with the focus of his questioning being the modern human sciences, biological, psychological, and social.

The social construction of reality

Running alongside these French thinkers is a parallel current that reshaped sociology: social constructionism. Peter Berger and Thomas Luckmann’s 1966 book The Social Construction of Reality argued that the “reality” we take for granted is continuously produced through human interaction, language, and institutions.

Post-modernism radicalised this insight. Sociological overviews observe that because all knowledge exists in a historically and culturally relativistic context, the notion of a singular “truth” does not exist for social constructionists. Since sociology and social psychology had historically sought the “truth” behind human behaviour, social constructionism carried markedly different implications for how sociologists should conduct their work, manifesting in a shift toward recounting individual experiences rather than building grand theories of human behaviour from the 1960s onward.

Implications for Indian social research

This shift matters deeply for studying societies like ours. Caste, gender, religion, and community were long analysed through modernist lenses borrowed from the West. Post-modern and post-colonial critiques, influenced by Foucault and extended by thinkers like Edward Said and Gayatri Spivak, questioned whether Western social science categories even fit Indian realities. As theorists note, when deployed by thinkers in the postcolonial world, postmodernism has helped apply a critical gaze to the way that knowledge is constructed within the modern milieu and has encouraged an intellectual current of eschewing colonial essentialist understandings and the rigid universalist truth claims of positivism.

The census category of “caste,” the colonial production of “tribe,” or the legal category of “Hindu” are all examples of classifications that post-modern analysis treats as historically produced, not naturally given.

The anti-foundational turn

All of this adds up to what philosophers call the anti-foundational turn. Foundationalism is the idea that knowledge rests on some bedrock, whether observation, reason, or experience. Post-modernism denies there is any such bedrock.

The foundations of postmodernism are located in the philosophical currents of anti-foundationalism, anti-essentialism, anti-representationalism, and anti-dualism, with scepticism underlining much of postmodern thought in that the validity of the roots of discourse is challenged, as one global social theory resource describes it.

For disciplines built on the idea that careful method yields reliable knowledge, this is a profound philosophical crisis. If there is no firm ground, what exactly is a sociologist or political scientist doing when they conduct research?

Critiques of the post-modern critique

Post-modernism has not gone unchallenged. Three major objections recur in the literature.

The self-refutation problem

If all universal claims are suspect, then the claim that “all universal claims are suspect” is itself a universal claim. Commentators highlight this tension, noting the claim of incoherence where post-modernism denies truth and objectivity while simultaneously making truth claims, along with a moral relativism that fails to take a principled ethical stand. Jรผrgen Habermas, one of the sharpest critics, argued that post-modern thinkers were caught in a performative contradiction.

The loss of critical leverage

If every narrative is equally valid, how does one criticise injustice? Feminists, Marxists, and human rights advocates worry that extreme relativism removes the ground needed to say that patriarchy, caste oppression, or authoritarianism are wrong. Some defenders of science, including sociologists like Steve Bruce, reject the postmodern concept of relativism and the idea that all truths carry equal weight.

The reality check

Climate change, pandemics, and material inequalities do not care about discursive framings. Bridges collapse, viruses spread, and wages remain unpaid regardless of which narrative one favours. Critics argue that post-modernism risks underestimating the continuing power of science and evidence in shaping the world.

Why this crisis still matters

The post-modern critique has not destroyed social science, but it has permanently changed how good research is conducted. Today, researchers are more reflexive about their own positionality. Ethnographers acknowledge that their interpretations are shaped by who they are. Policy analysts examine how categories like “poor,” “backward,” or “developed” are constructed. Historians question whose voices were silenced in the archives.

The crisis, in other words, has become productive. It forces social scientists to hold two ideas at once: that knowledge is always situated and shaped by power, and that rigorous inquiry is still worth pursuing. Navigating this tension is arguably the central methodological challenge of contemporary social research.

What do you think? If all knowledge is shaped by power and context, is it still meaningful to speak of objective social research, or is “objectivity” simply a useful fiction we cannot do without? And in the Indian context, how should researchers balance universal frameworks of analysis with the culturally specific narratives that post-modernism insists on taking seriously?

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References
  1. https://link.springer.com/book/10.1007/978-1-349-22183-7
  2. https://www.sciencedirect.com/topics/social-sciences/postmodernism
  3. https://en.wikipedia.org/wiki/The_Postmodern_Condition
  4. https://iep.utm.edu/lyotard/
  5. https://www.newworldencyclopedia.org/entry/Metanarrative
  6. https://en.wikipedia.org/wiki/Power-knowledge
  7. https://en.wikipedia.org/wiki/Michel_Foucault
  8. https://plato.stanford.edu/entries/foucault/
  9. https://www.simplypsychology.org/social-constructionism.html
  10. https://globalsocialtheory.org/topics/postmodernism/
  11. https://en.wikipedia.org/wiki/Postmodernism

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Research Methodologies

1 Logic of Inquiry in Social Research

  1. A Science of Society
  2. Comteโ€™s Ideas on the Nature of Sociology
  3. Observation in Social Sciences
  4. Logical Understanding of Social Reality

2 Empirical Approach

  1. Empirical Approach
  2. Rules of Data Collection
  3. Cultural Relativism
  4. Problems Encountered in Data Collection
  5. Difference between Common Sense and Science
  6. What is Ethical?
  7. What is Normal?
  8. Understanding the Data Collected
  9. Managing Diversities in Social Research
  10. Problematising the Object of Study

3 Diverse Logic of Theory Building

  1. Concern with Theory in Sociology
  2. Concepts: Basic Elements of Theories
  3. Why Do We Need Theory?
  4. Hypothesis, Description and Experimentation
  5. Controlled Experiment
  6. Designing an Experiment
  7. How to Test a Hypothesis
  8. Common Methods of Testing a Hypothesis
  9. Sensitivity to Alternative Explanations
  10. Rival Hypothesis Construction

4 Theoretical Analysis

  1. Premises of Evolutionary and Functional Theories
  2. Critique of Evolutionary and Functional Theories
  3. Turning away from Functionalism
  4. What after Functionalism
  5. Post-modernism
  6. Trends other than Post-modernism

5 Issues of Epistemology

  1. Some Major Concerns of Epistemology
  2. Rationalism
  3. Empiricism
  4. Idealism
  5. Phenomenology: Bracketing Experience

6 Philosophy of Social Science

  1. Foundations of Science
  2. Science, Modernity and Sociology
  3. Rethinking Science
  4. Crisis in Foundation

7 Positivism and its Critique

  1. Heroic Science and Origin of Positivism
  2. Early Positivism
  3. Consolidation of Positivism
  4. Critiques of Positivism

8 Hermeneutics

  1. Methodological Disputes in the Social Sciences
  2. Tracing the History of Hermeneutics
  3. Hermeneutics and Sociology
  4. Philosophical Hermeneutics
  5. The Hermeneutics of Suspicion
  6. Phenomenology and Hermeneutics

9 Comparative Method

  1. Relationship with Common Sense; Interrogating Ideological Location
  2. The Historical Context
  3. Elements of the Comparative Approach

10 Feminist Approach

  1. Relationship with Common Sense; Interrogating Ideological Location
  2. The Historical Context
  3. Features of the Feminist Method
  4. Feminist Methods adopt the Reflexive Stance
  5. Feminist Discourse in India

11 Participatory Method

  1. Relationship with Common Sense; Interrogating Ideological Location
  2. The Historical Context
  3. Delineation of Key Features

12 Types of Research

  1. What is Research?
  2. Types of Research

13 Methods of Research

  1. Centrality of Research Methods in Social Sciences
  2. Interface between Methodology and Methods
  3. Elements of Research Methodology
  4. Types of Data Used in Social Research
  5. Research Methods

14 Elements of Research Design

  1. Structuring the Research Process
  2. Defining Your Research Problem
  3. Choice of Field Site(s)
  4. Consideration of Time and Resources
  5. Reviewing Secondary Material
  6. Hypothesis
  7. Theoretical Orientation
  8. Universe and Unit of Study
  9. Pilot Study
  10. Sampling
  11. Data Collection
  12. Analysis and Report Writing

15 Sampling Methods and Estimation of Sample Size

  1. Sampling
  2. Classification of Sampling Methods
  3. Sample Size
  4. Probability Sampling
  5. Non-Probability Sampling

16 Measures of Central Tendency

  1. Mean
  2. Median
  3. Mode
  4. Relationship between Mean, Mode and Median
  5. Choosing a Measure of Central Tendency

17 Measures of Dispersion and Variability

  1. The Range
  2. The Variance
  3. The Standard Deviation
  4. Coefficient of Variation
  5. Measures of Dispersion and Variability

18 Statistical Inference- Tests of Hypothesis

  1. Statistical Inference
  2. Steps in Hypothesis Testing
  3. Types of Errors in Hypothesis Testing
  4. Tests of Significance: Chi-Square Test
  5. Tests of Significance: Student’s t Test

19 Correlation and Regression

  1. Correlation
  2. Method of Calculating Correlation of Ungrouped Data
  3. Method of Calculating Correlation of Grouped Data
  4. Regression

20 Survey Method

  1. Rationale of Survey Research Method
  2. History of Survey Research
  3. Defining Survey Research
  4. Sampling and Survey Techniques
  5. Operationalising Survey Research Tools
  6. Advantages and Weaknesses of Survey Methods

21 Survey Design

  1. Preliminary Considerations
  2. Stages / Phases in Survey Research
  3. Formulation of Research Question
  4. Survey Research Designs
  5. Sampling Design

22 Survey Instrumentation

  1. Techniques/Instruments for Data Collection
  2. Questionnaire Construction
  3. Issues in Designing a Survey Instrument

23 Survey Execution and Data Analysis

  1. Problems and Issues in Executing Survey Research
  2. Data Analysis
  3. Ethical Issues in Survey Research

24 Field Research – I

  1. History of Field Research
  2. Ethnography
  3. Theme Selection
  4. Designing Research
  5. Gaining Entry in the Field
  6. Key Informants
  7. Participant Observation

25 Field Research – II

  1. Genealogy
  2. Interview, its Types and Process
  3. Feminist and Postmodernist Perspectives on Interviewing
  4. Narrative Analysis
  5. Interpretation

26 Reliability, Validity and Triangulation

  1. Concepts of Reliability and Validity
  2. Three types of “Reliability”
  3. Working towards Reliability
  4. Procedural Validity
  5. Field Research as a Validity Check

27 Qualitative Data Formatting and Processing

  1. Qualitative Data Processing and Analysis
  2. Description
  3. Classification
  4. Making Connections
  5. Theoretical Coding

28 Writing up Qualitative Data

  1. Problems of Writing Up
  2. Grasp and Then Render
  3. Writing Down and “Writing Up”
  4. Write Early
  5. Writing Styles

29 Using Internet and Word Processor

  1. What is Internet and How Does it Work?
  2. Internet Services
  3. Searching on the Web: Search Engines
  4. Accessing and Using Online Information
  5. Uses of E-mail Services in Research

30 Using SPSS for Data Analysis Contents

  1. Starting and exiting SPSS
  2. Creating a data file
  3. Univariate analysis
  4. Bivariate analysis
  5. Multivariate analysis

31 Using SPSS in Report Writing

  1. Why to Use SPSS
  2. Charts
  3. Working with SPSS Output
  4. Copying SPSS output to MS Word Document
  5. Conclusion

32 Tabulation and Graphic Presentation- Case Studies

  1. Structure for Presentation of Research Findings
  2. Data Presentation: Editing, Coding and Transcribing
  3. Case Studies
  4. Qualitative Data Analysis and Presentation through Computer Software
  5. Types of ICT used for Research

33 Guidelines to Research Project Assignment

  1. Overview of Research Methodologies and Methods (MSO 002)
  2. Research Project Objectives
  3. Preparation for Research Project
  4. Stages of the Research Project
  5. Supervision During the Research Project