Skip to main content

Why counting caste matters....


The debate about whether the decennial Census should collect data on caste from individuals who fall into the administrative categories of ‘General’ and ‘Other Backward Classes’ (OBCs) has been argued by public intellectuals, politicians, and government administrators for decades. As the Census currently only collects data on ‘Scheduled Castes’ (SCs) and ‘Scheduled Tribes’ (STs), it fails to provide comprehensive data on India’s graded caste hierarchy. In the run-up to the 2011 Census, the political leadership agreed to include a full caste count in the Census. It later prevented a caste-wise enumeration in the Census. The suppression of caste-wise data took place then because of two interconnected dynamics which are likely to reoccur unless they are collectively challenged.

The importance of caste data

First, caste elites generally believe that caste no longer matters in shaping opportunities and outcomes in the 21st century. This caste blindness, or castelessness, obscures caste privileges and conceals sources of multi-generational structural advantage. Many caste elites view the collection of caste data about anyone but the most disadvantaged as unnecessary and a misuse of public resources. This perspective both serves their own interests and ignores the relational nature of caste — that is, the same societal institutions, systems, and cultural norms that have led to historic and ongoing subjugation of oppressed castes have simultaneously empowered others. To understand the full scope of disadvantage, we must also examine the full scope of privilege and advantage.

The suppression also occurred as a result of the machinery of government. Organisations tasked with designing Census questions and overseeing data collection, similar to every other key institution in society, have caste-based inequalities entrenched within them. The bureaucracy blocked the inclusion of a full caste count in the Census 2011 on methodological grounds. It argued that a caste count would be “administratively difficult and cumbersome,” “jeopardise the whole exercise,” and “compromise the basic integrity of the Census”. The official language used by the Congress-led government in 2011 was identical to the language used in the affidavit filed in the Supreme Court on September 23, 2021 by the present BJP-led government. The presentation of (supposedly) insurmountable methodological and logistical challenges is particularly effective as an excuse because it silences non-experts. Caste elites have a numerical and cultural stranglehold over the upper bureaucracy, despite more than 70 years of Central government reservations. In 2019, out of the 82 Secretaries to the Government of India, only four were SCs or STs. Following the suppression of the caste count in Census 2011, the executive bureaucracy reconfigured the Below Poverty Line survey and renamed it the 2011 Socio-Economic Caste Census, which had little resemblance to the original demands by caste census advocates and produced unusable caste data.

The purpose for collecting caste-wise data in the decennial Census is to understand the contours of inequality. These data are crucial to understand how caste intersects with class, gender, and regionality to structure access to resources. The collected caste data should be publicly available for use. In this regard, the caste data would continue the existing practice of the Office of the Registrar General of India to make Census data publicly available. The Census has the legal standing, public trust, operational expertise, and resources to collect, analyse, and make public caste data. Caste data must be collected as part of this constitutionally required exercise. Having the caste Census as part of another state project, or overseen by nodal agencies other than the ORGI, as happened 10 years ago, will relegate it to parts of the bureaucracy with insufficient expertise in a nationwide data collection operation.

While counting (or not counting) caste is political, the decision should not be reduced to immediate political contingencies i.e., the expansion of reservation policies, the caste-based mobilisation by political parties, etc. In the absence of detailed caste data, we fail to name and confront major structural and foundational problems of society; leave space for opportunistic politicians to exploit each caste; and miss the opportunity to craft reasoned, data-driven, and inclusive public policies.

Addressing concerns

Yet, important concerns remain. Some progressive and anti-caste scholars fear that a full-caste count will further entrench caste identities. A caste census will require all households to think about, acknowledge, and speak about caste identities. Yet, historically outcast groups have already had to provide caste data in all postcolonial Censuses to implement reservations. A full caste-wise enumeration will help to make visible privileges and resources that have become over time disassociated with caste, despite historical, sociological, and economic evidence to the contrary. Updated data on the entire caste system, including its intersections with other identities, will provide a more complete picture of exclusion and inequality in India.

Another concern is that groups will misuse the caste data. But misuse of caste data already takes place. Private groups with access to money and power regularly collect caste data for their needs. Political parties map the caste and religious composition of neighborhoods, cities, and villages to mobilise votes. Collecting caste data in the decennial Census removes this private power by making caste data publicly available to all.

While methodological and logistical challenges are real, they are surmountable. Demographers in government agencies and universities have extensive experience working through these challenges. Sample surveys such as the India Human Development Survey have collected caste-wise data. In addition, research on the failed caste count suggests the importance of careful planning to prevent groups from being made invisible in the data, such as Dalit Muslims, Dalit Christians, inter-caste and inter-religious households (particularly those that cut across the line of ‘untouchability’ or communal divide), and LGBTQ+ individuals. Related to the discussion of castelessness, if a ‘no caste’ option is included in the Census, the caste count will likely undercount well-to-do caste elites. Given the purpose of the caste count, omissions of marginalised groups and elites require specific attention while designing the survey instrument, training enumerators, educating the public, and analysing collected caste-wise data. Hence, the entire process requires external oversight if the data are to be usable and to minimise potential harm. As the process unfolds, a public oversight group should work to ensure that major operational and methodological decisions align with the data collection’s purpose: to understand the scope of caste-based inequities and address structural inequalities. Anti-caste organisations and public intellectuals, who have devoted their life’s work to challenging caste hierarchy, must provide oversight and input. Their perspectives and lived experiences of fighting caste oppression are the best safeguards to ensure that the collected data will be used for
liberatory purposes.

 

Comments

Popular posts from this blog

ACTUAL FEELING OF SOLVING REAL.......

to prepare you to face Aasma hai behad khoobsoorat, Rangaeen roshni aa rahi hai falak pe..... Sampoorn dharatal hai bheega,  Jeevan ke pahar mein Ambar bhi mahak raha, Vasudha ke upvan mein Chintan mein hai dhara, Aas lagaye sunya se, Milogi mujhe ya rah jaogi chitiz mein...... IN ENGLISH The sky is very beautiful, Colorful light coming on the sky.... It's complete strike, It will be wet in the mountain of life, The sky is also fragrant(garden) in the wake of vasudha (earth), The river is in the thoughts. Hope you will meet sunya(sky) or you will remain in the chitiz(at the location where sky and earth will meet)............ SKY MEANS SOMEONE ELSE EARTH MEANS MYSELF.

Material Property Landscape

So far, we have looked at the materials that changed the history. So, we looked at wood, ceramics, fiber and cloth, and so on. So now, let us look at the concept of what do we mean by material science and what do we mean by materials engineering. Or, in other words, let us see what is -- how these two fields of study have been classified. So, the material science per se actually deals with the structure-property correlations. So, basically, what is the structure and what is the property that is obtained in the material through that structure? So, material science deals with the structure-property correlations, while materials engineering deals with designing or engineering of the structure of a material for specific application. So, basically it relies on structure-property correlations, and it takes from there, and then tries to design structures or components for a material -- of a material, for a specific application in mind. So, what do we mean by structure? A structure is nothing ...

RESERVATION.......

The Dravidian model of public health The recent Supreme Court judgement upholding the constitutionality of reservation for Other Backward Classes (OBC) in National Eligibility cum Entrance Test (NEET)‘s All-India Quota (AIQ) seats for undergraduate and postgraduate medical and dental courses is a landmark in the history of social justice in the country. “The propriety of actions and dedication to public service should also be seen as markers of merit, which cannot be assessed in a competitive examination,” observed the bench comprising Justice D.Y. Chandrachud and Justice A.S. Bopanna.  In the light of these crucial observations, it is high time that we demystify the narrow definitions of merit. “Merit should be socially contextualised and reconceptualised as an instrument that advances social goods like equality that we as a society value,” the apex court said. In this regard, the practices followed by Tamil Nadu, where the notion of merit has taken into acco...

Class 4: Polity : Federal system & Preamble Offline & Online Guidance Program

THE AIMERS EXECUTIVE DIRECTORS AND VOTING POWERS  okay let's discuss the first one quasi federalism given by Casey where fine quasi means what here quasi means partial means what he says is Indian Federalism is not completely Federal it is only partially Federal so obviously when you want to say that India's Federalism is partially Federal so then obviously what you are doing here so Casey where was comparing India's model to the U.S model of federalism now according to him U.S model is a kind of Ideal federalism and India's is not like that now it may be 50 maybe 60 percent only we are federal was his argument fine for that in simple words it means he is arguing that we have a very very what a very strong Center was his core argument so for that obviously multiple points are there so one of the other obviously we can keep discussing for example look at remember we have already discussed the list Union list State list token current list what's up now if you look at...

History of AI from 40s - 90s

  Alright, so, welcome to the AI course, from today we are going to talk about the technical aspects of AI. And before I start I want to mention that while I am going to be presenting the course, I have I am really standing on the shoulders of giants in other words, there are a lot of lot of people who have taught AI taught AI really, really well taught AI probably much better than me, taught AI I have learned AI lot from them and so on so forth. And I have learned from many such people and the slides that I will be using will be stolen from different places of course with you know, some, some permission, some permission, I would say. And so, because of that, you know, we will be sort of taking interesting bits from wherever I found and combining them in the course, I should also point out that I am going to credit all the people that have taken slides from in the first slide, not on individual slides, but you know, I really, really thank them for developing this course for me and ...

THE BIGGEST PRESSURE THE YOUTH OF TODAY.......

NEWS: Punjab’s Harnaaz Sandhu on Monday won the Miss Universe 2021 pageant, beating contestants from 79 countries to bring the title back to India after 21 years. ETHICAL During the final question and answer round, Ms. Sandhu was asked what advice she would give young women on how to deal with the pressure they face today. “The biggest pressure the youth of today is facing is to believe in      themselves, to know that you are unique and that’s what makes you beautiful. Stop comparing yourselves with others and let’s talk about more important things that’s happening worldwide....   HISTORICAL Only two Indians before Ms. Sandhu, just 21 and an actor as well as a model, have been crowned Miss Universe earlier — actors Sushmita Sen in 1994 and Lara Dutta in 2000. The win, being seen as a fillip for the beauty pageant industry, led to celebrations at her home and congratulatory messages from all quarters. ABOUT The 70th edition of the event was held in Israe...

Machine Learning

 welcome to machine learning for engineering and science applications I am Balaji Srinivasan I am in the mechanical engineering department hi I'm gonna put the Krishna mood I am in the department of engineering design and both of us are from iit madras so if we look at various applications that all of us are using already in real life for example this is Amazon's recommender system some of you might have seen Amazon echo which is a speech recognition system of course everybody has used Gmail spam classifier and this is Google Lexus this is a latest self-driving car all of these use machine learning algorithms in one way or the other our purpose in this course is to try and utilize the same algorithms for more general problems for example medical image diagnosis or for speeding up CFD computations we look at the course aims basically we will try to understand some of the basic machine normal learning models thoroughly with specific emphasis on deep learning which is the current ...

BIOTECHNOLOGY

India has become the world’s 12th biggest biotechnology economy having the second highest number of USFDA-approved plants The genotype is a set of genes in DNA responsible for unique traits or characteristics while the phenotype is  the physical appearance or characteristic of an organism .) . BIOPROCESS Engineering : Maintenance of sterile (microbial contamination-free) ambience in chemical engineering processes to enable growth of only the desired microbe/eukaryotic cell in large quantities for the manufacture of biotechnological products like  antibiotic s,  vaccines, enzymes, etc. Red biotechnology:   health branch  Green biotechnology:   crops  droughts and frosts. White biotechnology:   manufacturing processes,  biofuels and  industry  Yellow biotechnology:  saturated fats in cooking oils. Blue biotechnology:    marine  aquaculture, microalgae. Grey biotechnology:  Its purpose is th...

Fossil Fuel Steam Generator

Hello, I welcome you all in this course on Power Plant Engineering. Today, we will discuss Fossil Fuel Steam Generators. Now, fossil fuel is the fuel which is made in billions of years when the vegetation is buried under the ground and in millions of years may be 100 or 200 million years; this vegetation is converted into the mineral oil or the coal or the natural gases. And this source of energy is non-renewable source of energy. And the major drawback of this source of energy is that; when the heat is liberated at the same time when we burn this fuel heat is liberated at the same time carbon dioxide is also liberated and which causes the global warming. However, in India more than 60 percent power generation is through the burning of fossil fuels. Now, topics to be covered today are; first of all, we will do the classification of steam generations and then we will discuss the working of a few of the classical steam boilers namely Lancashire Boiler, Cornish Boiler, Cochran Boiler and ...

first ever scientific bird atlas......

 The Kerala Bird Atlas (KBA), the first-of-its-kind State-level bird atlas in India, has created solid baseline data about the distribution and abundance of bird species across all major habitats, giving an impetus to futuristic studies. Conducted as a citizen science-driven exercise with the participation of over 1,000 volunteers of the birdwatching community, the KBA has been prepared based on systematic surveys held twice over 60 days a year during the wet (July to September) and dry (January to March) seasons between 2015 and 2020. The KBA accounts for nearly three lakh records of 361 species, including 94 very rare species, 103 rare species, 110 common species, 44 very common species, and 10 most abundant species. “The KBA offers authentic, consistent and comparable data through random sampling from the geographical terrain split into nearly 4,000 grids. We are in the process of bringing out papers on interesting trends based on a scientific analysis of solid dat...