Nhận biết (M1)

Text 1

Efforts to automate the categorization of literature into genres have faced substantial challenges, questioning the utility of such classifications. Genre definitions often lack clarity, subjectivity, and reductionism, detracting from their usefulness. In their analysis of the works of Nigerian author Chimamanda Ngozi Adichie, researchers Olivia Smith and Chidi Okonkwo contend that literary relationships might be better understood through themes rather than traditional genre labels.

Text 2

Magical realism, a literary genre known from Latin American authors like Gabriel Garcia Márquez, shares many thematic and stylistic elements with the Southern Gothic genre. Automated genre recognition tools often fail to distinguish between such nuanced literary categories. However, Zoe Harper and her team addressed this issue by applying natural language processing techniques to analyze textual patterns. Their method shows promise in enhancing genre recognition, potentially benefiting readers and scholars alike.

Based on the texts, how would the author of Text 1 most likely respond to the claim about the potential benefits of Harper and colleagues' research in Text 2?

• A.

  By noting that some literary genres are more distinguishable than others using automated systems.

• B.

  By highlighting that readers do not uniformly appreciate all works classified within a genre they favor.

• C.

  By arguing that genre classifications may not be the most effective framework for understanding literary works.

• D.

  By acknowledging that ongoing research could significantly advance automated genre recognition technology.