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Question

In the given passage, some words have been deleted. Read the passage intently and choose the most appropriate option to fill in each blank:

 Global sustainability discourse has not so much evolved as ossified into a lexicon of managerial (1) ____—terms engineered more for reputational lubrication than ecological redress. What was once a moral reckoning with planetary precarity now traffics in dashboards and metrics, calibrated less to redistribute power than to launder it. Words like “resilience,” “stakeholder engagement,” and “net-zero” populate position papers, their meanings stretched until they acquire the elasticity of (2) ____. In this semantic economy, language ceases to be revelatory and becomes performative. Reports teeter on euphemism; declarations bristle with procedural piety. Crises are not named; they are (3) ____ into ‘developmental challenges.’ The grammar of suffering is bleached, even as the facts remain uncompromising. What emerges is not truth, but a choreography of credibility—an affective simulation of care. Meanwhile, epistemic asymmetries persist: indigenous knowledge is (4) ____ as “local insight,” offered just enough space to decorate, never to reorient. Environmental justice, once confrontational, now wears a diplomatic smile, folded neatly into intergovernmental communiqués. If sustainability is to escape the orbit of self-congratulation, it must surrender its obsession with optics and inhabit the discomfort of history. Anything less is not stewardship—it is semantic (5) ____ masquerading as progress.

What should come in the place of blank number (4)?

This question was previously asked in
SSC CGL 2025 Tier 1 Question Paper (25-Sep-2025) (Shift 3)
The correct answer is
tokenized

Blank Number (4) Solution

This question asks to identify the correct term that should replace the blank indicated by the number (4) from the given options.

The options suggest a context related to data or text processing, commonly encountered in computer science or Natural Language Processing (NLP).

Understanding the Process

In NLP and text analysis, the process of breaking down a text into smaller units like words, punctuation, or symbols is called tokenization. Each of these smaller units is referred to as a token.

Evaluating the Options

  • Option C: $tokenized$ - This term directly refers to the process of breaking text into tokens. It fits the typical steps in text preprocessing.
  • Option A: $silenced$ - This term doesn't align with standard text processing terminology.
  • Option B: $extracted$ - While tokens are extracted, 'extracted' is a general term. 'Tokenized' is more specific to this context.
  • Option D: $discarded$ - This implies removing or deleting parts of the text, which is contrary to breaking it down into components.

Final Conclusion

Given the options, 'tokenized' is the most appropriate term for the blank (4), representing the fundamental step of dividing text into processable units (tokens).

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Important Questions from Cloze Test

  1. What would come in blank space (1)?

  2. What would come in blank space (2)?

  3. What would come in blank space (3)?

  4. What would come in blank space (4)?

  5. What would come in blank space (5)?

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