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Stone's Revenge: Deconstructing Hierarchy in ‘Cerita Batu’ Lismalinda; Novita, Elmi; Rahardy, Iffah Fauziah; Arianto, Tomi
eScience Humanity Journal Vol 5 No 1 (2024): eScience Humanity Journal Volume 5 Number 1 November 2024
Publisher : Asosiasi Ide Bahasa Kepri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/esci.v5i1.219

Abstract

This paper analyzes the short story Cerita Batu through the lens of deconstruction, focusing on the reversal of hierarchical oppositions and the rejection of new hierarchical structures. The analysis identifies key binary oppositions in the text Man/Woman, Living Things/Inanimate Objects, and Happy/Sad and examines how these oppositions function within the narrative. The study highlights how the text initially presents dominant and marginal hierarchies, such as male dominance over female and human superiority over inanimate objects, which are later deconstructed. By reversing these hierarchies, the story reveals the interdependence between opposing elements: men and women, humans and stones, and happiness and sadness. The narrative demonstrates that these binary oppositions are not fixed, but fluid and interconnected, showing how meaning in the text is plural and resistant to singular interpretations. Ultimately, Cerita Batu emphasize the idea that oppositions are mutually constitutive, challenging conventional notions of dominance and subordination.
The Algorithmic Loop in Intensifying Brainrot and Reducing Language Learning Focus Ismail, Nyak Mutia; Lismalinda; Jamilah, Sitti; Tahir, Muhammad
Journal of Nusantara Education Vol. 5 No. 2 (2026): April 2026
Publisher : Faculty of Education Universitas Nahdlatul Ulama Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57176/jn.v5i2.208

Abstract

Brainrot,defined by a tendency toward excessive micro-scrolling, persistent audio reassurance and an increased fondness for overstimulating short-form,has become a major cognitive phenomenon among young adults. However, it is relatively unexplored how algorithmic recommender systems reinforce this state and what roles this plays in academic processes (e.g. English learning). The current study is based on a quantitative explanatory research design and involves 321 daily TikTok or Instagram users. Four latent constructs were investigated: Algorithmic Exposure, Brainrot Intensity, Cognitive Load and Language Learning Focus. The confirmatory factor analysis showed high both construct validity and the model fits well (CFI =. 956, RMSEA =. 052). Algorithmic exposure was a powerful predictor of brainrot intensity (β =. 72, p <. 001), and this inhibition subsequently had a significant impact on cognitive load (β =. 66, p <. 001). Cognitive load had a relatively large negative influence on language learning attention (β = –. 58, p <. 001). There was no significant direct path from algorithmic exposure to learning focus verifying full mediation by brainrot and cognitive load. This suggests the influence of algorithmically curated digital environments on learning is not immediate, but rather it works its effect through cognitive breakdowns that limit learners’ ability to sustain focus in vocabulary building, reading comprehension and grammar processing. The findings of this study suggest that ELT education should include training in algorithmic literacy and attention management to help people cope with the increasing cognitive demands put forward by short-form social media.