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● Remember: Section summary
           • Key idea: AI-assisted analysis needs testing of the code, the method, the interpretation,
           and the privacy.
           • Practical decision: Keep the original data separate, and use a dictionary, small tests, and
           a complete log.
           • Mistake to avoid: Equating running code with correct code, or using generated outputs

           as real data.


         7.8 Writing Reviews, Research Abstracts, and Policy Briefs
           ◆ Key idea: every claim needs a path to evidence.
           Evidence-based writing is not a linguistic polish applied after the research is finished. It is

           a way of displaying the relationship between the question, the method, the finding, the
           source, and the limits. AI can support planning and editing, but it must not create claims,
           references, or certainty that do not exist.

         The function of a text differs with its audience. An academic paper explains the method and

         allows the evidence to be appraised and the work repeated. A literature review builds an
         argument about the state  of  knowledge. An  institutional  report connects findings to an
         operational  question  or  a  decision.  A  policy  brief  condenses  evidence,  options,  and

         implications for a busy audience. It is not enough to change the length or the tone; the
         structure, the type of detail, and what the reader needs in order to take a position must
         change.


         The claim, evidence, and reasoning structure is useful. The claim is the sentence we want

         the reader to accept. The evidence is the data or the sources that support it. The reasoning
         explains why the evidence justifies the claim in this context. Many generated texts produce

         a claim and a reasoning with no real evidence, or place a reference beside a sentence it does
         not support.

         In  the  introduction, a  tool  can  help  test the  logic:  does  the  text  move  from  context  to
         problem to gap to question? But it may inflate the importance of the topic with general

         phrases such as “it has become more necessary than ever”. It is better to show importance
         through  data,  consequences,  or  a  decision,  not  through  adjectives.  And  a  gap  is  not
         established by saying “there is a shortage”; it is established by showing what the literature

         has covered and what remains.

         In the method section, a tool can turn notes into a structure, but you must describe what
         actually happened rather than what should have happened. State the design, the sample,
         the  instrument,  the  procedure,  the  analysis,  the  software,  the  versions,  and  the

         amendments.  If AI was used  in  conducting the study or the analysis,  editorial  guidance






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