Resumen

IGLESIAS-VERGARA, Carlos Alberto. A latent class analysis to identify typologies of human trafficking victims: The control-intensity spectrum. Rev. Cient. Gen. José María Córdova [online]. 2025, vol.23, n.52, pp.859-882.  Epub 01-Oct-2025. ISSN 1900-6586.  https://doi.org/10.21830/19006586.1563.

Using latent class analysis on 23,884 trafficking victims from the Counter Trafficking Data Collaborative Global Synthetic Dataset (representing 9.3% of 257,969 total cases after data quality filters), this study identified six distinct victim typologies characterized by varying control intensities. The analysis revealed that 50.3% of victims experienced "low overt control" trafficking with minimal coercive methods, challenging dominant paradigms that equate trafficking with extreme coercion. Classes ranged from high-intensity labor trafficking (9.9% of the sample, with 94.8% experiencing debt bondage) to low-control sexual exploitation (29.2% of the sample, with <5% experiencing traditional control methods). Significant temporal (Cramer's V = 0.213) and geographic (V = 0.342) variation in class distributions suggests context-dependent trafficking patterns rather than universal typologies. These findings support reconceptualizing trafficking along a control intensity spectrum and developing differentiated interventions tailored to distinct victim experiences within identified trafficking populations.

Palabras clave : coercion; global synthetic dataset; human trafficking; latent class analysis; victim identification.

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