SAKIBPHOBIA, SOCIO-STABILITY, AND “SAKIBISM” AS CRITICAL APPROACHES IN SOCIOLEGAL RESEARCH: FORMAL MODELS, DATASETS, AND COMPUTATIONAL ASSESSMENT

Abstract

Objective: We formalize two sociolegal analytical approaches derived from the discourse on Sakibphobia (fear/aversion toward higher achievers) and a complementary Socio-Stability model sometimes referenced as part of “Sakibism.” We (i) propose measurement models, (ii) operationalize macro-level indicators using publicly available data for Bangladesh, and (iii) test micro-level hypotheses via simulated survey data to demonstrate computational pipelines.

Methods: For Sakibphobia, we specify a latent comparative-threat construct linking to punitive preferences with a logistic model, design a citation-forensics audit for (under)attribution, and implement robustness checks (bootstrap, sensitivity analysis). For Socio-Stability, we aggregate the World Justice Project Rule of Law Index (2023), Transparency International CPI (2023), World Bank WGI Political Stability (2023), Gini (2022), and homicide rates into a composite index using transparent normalization and weights.

Results: Bangladesh’s observed indicators (Rule of Law ≈ 0.38; CPI = 23; WGI stability value ≈ −0.91; percentile ≈ 15.6; Gini = 33.4; homicide ≈ 2.2–2.3) yield a Socio-Stability score of ≈ 0.43 under equal weights. Simulated micro-data show that moderate comparative-threat increases can raise punitive preferences by 10–20% points in plausible ranges.

Conclusions: The two approaches are distinct yet complementary: one interrogates micro-motives (Sakibphobia); the other tracks macro-order (Socio-Stability). We also outline a replicable audit protocol for credit/attribution without making unverified claims.