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Record W4410411782 · doi:10.5430/wjel.v15n7p86

Social Displacement in the Cyberworld Era as Presented in Nikesh Shukla’s Meatspace

2025· article· en· W4410411782 on OpenAlexvenueno aff
Nouf A. Alkhattabi

Bibliographic record

VenueWorld Journal of English Language · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicMedia, Religion, Digital Communication
Canadian institutionsnot available
Fundersnot available
KeywordsDisplacement (psychology)Computer sciencePolitical sciencePsychology

Abstract

fetched live from OpenAlex

Social displacement refers to the feelings of alienation and isolation one experiences while living among others. Today, many have adopted new lifestyles in their quest for recognition, and technology is playing a significant role in this transformation. This paper examines the topic of the impact of technology and its role in distancing individuals from genuine physical connections. By analyzing the behavior of Kitab, the protagonist in Nikesh Shukla’s Meatspace, the study aims to understand how social media as a form of technology has affected individuals. Using an interpretative method, the study also examines how superficial social norms shape identity development. It highlights the destructive effects of the excessive use of social media, which contributes to social displacement. By adopting a comparative perspective, the study delves into shared concerns related to identity formation within a fragmented digital world. Hence, the study, while encouraging a deeper engagement with Meatspace and its implications, suggests further studies on the topic as technological advancements and the dominance of cyberspace increasingly take control of individuals’ identity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.804
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.290
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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