CASTE IN GLOBALISATION CONTEXT: THE PERCEPTION OF INTERNATIONAL AID AGENCIES
Bibliographic record
Abstract
The present paper is an attempt to understand the working of international aid agencies with the marginalized groups of India.I argue that the functioning of these agencies is not innocent and the same can be revealed by critical understanding of the internal dynamics of their operation, particularly in the broader field of empowerment of marginalized communities that they are engaged with.Despite the fact that the International aid agencies have their imprints in India for decades, there is no visible or substantial change in lives of the communities they seek to change.Those, particularly the Scheduled Castes and Scheduled Tribes, other marginalized communities continue to be at the lower strata of the society devoid of socio-political, economic and welfare measures of the so-called egalitarian state.One reason that led to the failure of these agencies is their un(conscious) inability to understand the socio, political and cultural dynamics of Indian caste system.Without proper understanding of the caste system, one cannot comprehend the resultant systematic exclusion, which in fact led to the perennial poverty of these communities.Furthermore, the paper seeks to understand the institutional setup of these aid agencies in India and argues thereby that any developmental, reformist and empowerment agenda adopted by such agencies is inherently 'exclusive' and therefore bound to fail in the promises that they make.This paper critically views the aid agencies' mainstream perception of caste discourse, their lack of will to include the members of the marginalized communities into their policymaking bodies.Moreover, I argue that any developmental intervention without the active participation of marginalized communities will be a charade in the name of charity.The paper divided into 6 sections.In the first section, I look at the role of caste in modern context, synthesizing the views of scholars such as K Sathyanarayana, Susie Tharu, G Aloysius, Gopal Guru, Sundar Sarukai, N. Sukumar and AS Ajith Kumar and argue that caste is reconfigured and more rampant in modern times.In the second section, I argue that, with the formation of Brahmanical caste based organizations across the countries, caste has become a world problem; third section is about understanding of caste in international aid agencies.In the fourth section, I draw your attention on the caste diversity and staffing practices of international aid agencies in India, which disproportionately occupied and operated by privileged sections with Brahmanic cultural capital.In the fifth section, I argue for the need of challenging the caste in conscious level to symbolic boundaries.The sixth chapter is the conclusion and seventh one is the annexure, list out the Brahmanical caste based organizations formed in the countries across the world, eighth one is the table that indicates the No diversity and No accountability in the aid agencies in India
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.017 |
| Scholarly communication | 0.016 | 0.004 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".