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In Language diversity and change, a candidate works with a spoken narrative where deixis anchors events to shared context. For Examples and data for diversity and change, which answer best addresses task 3 by applying evaluative stance to the objective: Study texts that use language to represent different social, occupational, gender, ethnic, regional, national and international groups?

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MCQ

Type

practice

Style

Topic

Language diversity and change

Exam-style question

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In Language diversity and change, a candidate works with a spoken narrative where deixis anchors events to shared context. For Examples and data for diversity and change, which answer best addresses task 3 by applying evaluative stance to the objective: Study texts that use language to represent different social, occupational, gender, ethnic, regional, national and international groups?.

  1. A.Use evaluative stance in the a spoken narrative where deixis anchors events to shared context to explain Study texts that use language to represent different social, occupational, gender, ethnic, regional, national and international groups.
  2. B.Only copy terminology from Examples and data for diversity and change without linking it to evidence in the data.
  3. C.Ignore Language diversity and change context and give a general opinion about whether the text is effective.
  4. D.Replace analysis with a memorised definition that does not address task code landivandcha-282-3.

Model answer

What a good answer should say

  • Use evaluative stance in the a spoken narrative where deixis anchors events to shared context to explain Study texts that use language to represent different social, occupational, gender, ethnic, regional, national and international groups.

Explanation

Why this works

This is the strongest answer because it keeps the response anchored to Examples and data for diversity and change, uses the specific a spoken narrative where deixis anchors events to shared context, and links evaluative stance to evidence rather than relying on generic recall. The other options either avoid data, ignore context, or use terminology without analysis.

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