Q6
(a) Centralized Public Grievance Redress and Monitoring System (CPGRAMS) does not effectively address local level issues. Give your opinion. (20 marks) (b) Do you think 'Aadhaar' initiative has promoted inclusive governance and administrative credibility? Throw light. (20 marks) (c) Smart Policing and Community Policing programmes have been initiated to address socio-technological challenges in law and order. Discuss. (10 marks)
हिंदी में प्रश्न पढ़ें
(a) केन्द्रीकृत लोक शिकायत निवारण एवं निगरानी प्रणाली (CPGRAMS) स्थानीय स्तर की समस्याओं का प्रभावी रूप से समाधान नहीं करती। अपने विचार प्रकट कीजिए। (20 अंक) (b) क्या आपके विचार में 'आधार' योजना ने समावेशी शासन और प्रशासनिक विश्वसनीयता को बढ़ावा दिया है? प्रकाश डालिए। (20 अंक) (c) स्मार्ट पुलिस व सामुदायिक पुलिस कार्यक्रम कानून और व्यवस्था की सामाजिक-तकनीकी चुनौतियों को हल करने के लिए आरम्भ किए गए हैं। विवेचना कीजिए। (10 अंक)
Directive word: Discuss
This question asks you to discuss. The directive word signals the depth of analysis expected, the structure of your answer, and the weight of evidence you must bring.
See our UPSC directive words guide for a full breakdown of how to respond to each command word.
How this answer will be evaluated
Approach
The directive 'discuss' demands a balanced, analytical treatment with evidence-based arguments across all three parts. Allocate approximately 40% of time/words to part (a) on CPGRAMS given its 20 marks and evaluative nature requiring critical opinion; 35% to part (b) on Aadhaar for its dual assessment of inclusive governance and credibility; and 25% to part (c) on policing initiatives. Structure each part with brief context, multi-dimensional analysis, and a micro-conclusion before synthesizing all three in a final forward-looking conclusion.
Key points expected
- Part (a): CPGRAMS limitations in local grievance redressal — structural centralization vs. local self-governance needs, last-mile connectivity gaps, and comparison with state-level portals like Jansunwai (UP) or CM Helpline (MP)
- Part (a): Counter-arguments on CPGRAMS effectiveness — integration with Digital India, Sevottam reforms, and data-driven monitoring of redressal timelines
- Part (b): Aadhaar's inclusive governance contribution — financial inclusion through DBT, Jan Dhan-Aadhaar-Mobile (JAM) trinity, reduced leakage in PDS and MGNREGA
- Part (b): Administrative credibility dimensions — biometric de-duplication, ghost beneficiary elimination, but also concerns about exclusion errors, privacy risks, and Supreme Court's Puttaswamy judgment balancing act
- Part (c): Smart Policing components — CCTNS, ICJS integration, predictive policing, cybercrime units; Community Policing models — Maithri (Kerala), Friends of Police (Tamil Nadu), Jan Sampark (Rajasthan)
- Part (c): Socio-technological synergy — how technology-enabled community engagement addresses trust deficit, communal harmony, and cyber-physical security challenges
Evaluation rubric
| Dimension | Weight | Max marks | Excellent | Average | Poor |
|---|---|---|---|---|---|
| Concept correctness | 20% | 10 | Precisely defines CPGRAMS architecture (PG Portal, Sevottam framework), Aadhaar's statutory basis (Aadhaar Act 2016), and distinguishes Smart Policing (technology-driven) from Community Policing (people-centric); no conflation of terms | Basic definitions present but lacks clarity on institutional mechanisms; may conflate Smart and Community Policing or miss Aadhaar's legal framework | Misidentifies concepts, confuses CPGRAMS with state portals, treats Aadhaar only as identity card without governance linkage, or conflates policing initiatives completely |
| Theoretical anchor | 20% | 10 | Applies Riggs' fused-prismatic-diffracted model for central-local tension in (a); Amartya Sen's capability approach for inclusion in (b); and Wilson-Kelling broken windows theory or community-oriented policing philosophy in (c); integrates seamlessly | Mentions theories superficially without application; or uses generic governance theories without specific linkage to question parts | No theoretical framework; or completely inappropriate theories cited without relevance to grievance redressal, identity governance, or policing |
| Indian administrative examples | 20% | 10 | For (a): cites Sevottam pilot districts, PRAGATI integration; for (b): references LPG subsidy reform, MGNREGA attendance system, PM-KISAN; for (c): names specific models like Thiruvananthapuram's Maithri, Delhi's Parakram vans, or Hyderabad's integrated command center | Generic mentions of Digital India or police modernization without specific schemes; vague references to DBT without program names | No Indian examples; or factually wrong examples (e.g., attributing state portals to CPGRAMS, confusing policing initiatives) |
| Reform / policy angle | 20% | 10 | Critically evaluates CPGRAMS 2.0 reforms, Aadhaar-Voter ID linkage debate, Data Protection Bill implications; suggests Lokpal integration, offline Aadhaar enrollment camps, and police-community co-production models with implementation roadmap | Lists reforms without critical evaluation; suggestions are generic (more training, better infrastructure) without specificity | No reform discussion; or purely descriptive without critical stance on effectiveness, exclusion risks, or sustainability |
| Conclusion & forward look | 20% | 10 | Synthesizes all three parts into coherent thesis on technology-democracy balance in Indian governance; proposes integrated grievance-identity-security governance architecture; references 2nd ARC recommendations or SDG 16 for forward vision | Summarizes each part separately without synthesis; generic conclusion on technology importance without specific integration | No conclusion; or abrupt ending; or conclusion contradicts main arguments; purely repetitive without forward look |
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